100+ Best ETL Tools List & Software (As Of April 2024)

What are the main types of ETL tools?

ETL tools can be classified into four main groups:

On-premises ETL
Open-source ETL
Cloud-based ETL
Hybrid ETL

Cloud-based ETL

Cloud based ETL solutions are hosted and run on the provider's servers and cloud infrastructure. The organization pays a subscription fee to use the tool, and the supplier is in charge of maintaining and updating it. Cloud ETL tools create value by powering insights or automation. For instance, a company may be doing a deep-dive into their recruiting pipeline, and leverage cloud-based ETL pipelines and a service provider like HR Analytics to build out automated reporting.

Portable, Fivetran, Stitch, Matillion, and Google Cloud Dataflow are a few notable cloud-based ETL solutions.

On-premises ETL

On-premises ETL tools run on a company's infrastructure. They are typically owned and managed by the organization, which has complete control over the tool and the data it analyzes.

Recommended Read: Modern Data Stack: Use Cases & Components

Open Source ETL

Open-source ETL solutions are popular options, given the rise of the open-source movement. Many ETL solutions are now free and provide graphical user interfaces for developing data-sharing processes and monitoring information flow.

Some of the most popular open-source ETL tools are Portable, Apache NiFi, AWS Glue, Airbyte and Informatica.

Hybrid ETL

Depending on the organization's needs and choices, these tools can be run on either the organization's infrastructure or the provider's cloud infrastructure. They blend the scalability and convenience of cloud-based tools with the flexibility of on-premises tools.

Recommended Read: ETL Explained - The Complete Guide

Key considerations while evaluating ETL tools

100+ Best ETL Tools & Solutions: List for 2023

Here is a list of the top ETL tools:

Portable
Integrate.io
Estuary
Upsolver
Blendo
Stitch
AWS Glue
Apache NiFi
IOblend
Fivetran
Dataddo
Domo
Jaspersoft ETL/Talend Open Studio
CloverDX
Informatica PowerCenter
Apache Airflow
Qlik Compose
IBM Infosphere Datastage
SAP BusinessObjects Data Services
Hevo Data
Enlighten
Azure Data Factory
ETLWorks
Microsoft SQL Server Integration Services (SSIS)
AWS Data Pipeline
Skyvia
Toolsverse
IRI Voracity
Dextrus
Astera Centerprise
Improvado
Onehouse
Sybase ETL
Cognos Data Manager
Matillion
Oracle Warehouse Builder
SAP -- BusinessObjects Data Integrator
Oracle Data Integrator
Ab Initio
IBM -- Infosphere Information Server
Logstash
Singer
DBConvert Studio
Workato
Keboola
Flowgear
StarfishETL
Matillion ETL
CData Sync
Mule Runtime Engine
Striim
Talend Data Fabric
StreamSets
Confluent Platform
Alooma
Adverity Datatap
Syncsort
Adeptia ETL Suite
Apatar ETL
SnapLogic Enterprise
OpenText Integration Center
Redpoint Data Management
Sagent Data Flow
Apache Kafka
Apache Oozie
Apache Falcon
GETL
Anatella
EplSite ETL
Scriptella ETL
Apache Crunch
Airbyte
Meltano
Visier
Funnel.io
Daasity
Alteryx
Kleene.ai
Data Virtuality
Precog
Rivery
Etleap
Precisely Connect
Gathr
Boomi
Ataccama
Prospecta
Xtract.io
Materialize
Xplenty
DBSoftlab
Flatfile
Popsink
Meroxa
SAS Data Integration Studio
Bubbles
Everconnect
Mitto ETL+
Optimus Mine
Polytomic
Shipyard
Google Cloud Data Fusion
Pentaho Kettle
Apache Hive

1. Portable

Portable is an ETL platform that offers ETL connectors for over 1000+ data sources.

What's so great about Portable?

Portable is one of the best data integration tools for teams dealing with long-tail data sources.
Portable offers the ETL connectors you won't find on Fivetran - at a fraction of the cost.
The Portable team will design and implement bespoke connectors upon request, with turnaround times as short as a few hours.

Top Features

Custom data source connectors are created on demand at no extra charge, and maintenance is provided.
Hands-on assistance is available 24 hours a day, seven days a week.
A massive catalog of data connectors that are ready to use right away.
Data workflows into the major Data Warehouses.

Pricing

Portable offers a free plan with no limits on volume, connectors, or destinations for manual data processing. Portable charges a monthly flat payment of $200 for automatic data transfers. For corporate requirements and SLAs, please contact sales.

Pros

Over 1000+ ETL connectors are developed for specialized applications.
Portable's data connectors easily transportable between contexts, allowing you to use them on other devices or platforms as needed.
New data source connectors were produced without charge within days or hours.
Connector maintenance is free of charge.

Cons

Only available in the United States.
Portable does not support enterprise solutions like Oracle; it only provides long-tail data sources.
There is no help with data lakes.

Who is Portable best suited for?

Portable is ideal for teams seeking long-tail ETL connectors not supported by Fivetran.

Source: https://portable.io/

2. Integrate.io

Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation to scale. Its three core use cases focus around: file data preparation and B2B data sharing, preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, & HubSpot, and powering data products with real-time database replication.

Top Features

Simple Data Transformations
Simple Workflow Design for Defining Task Dependencies
Data Security and Compliance
Diverse Data Source and Destination Options
Excellent Customer Service

Pricing

The entry-level ETL and Reverse ETL plans start at $15,000 per year.
Professional ETL & Reverse ETL plans begin at $25,000 per year.
For Enterprise Edition, please contact the sales team.

Pros

Integrate.io offers a simple, drag-and-drop interface that allows even non-technical people to create and manage integrations.
Integrate.io offers several pre-built connectors to major business applications, which can save a significant amount of time and effort when merging disparate systems.
Integrate.io is designed to handle massive amounts of data and can readily scale to meet an organization's demands.

Cons

Because Integrate.io is focused on making integrations easy to establish and manage, it may not offer as many advanced features as more robust enterprise-grade integration platforms.
Errors with sophisticated Xplenty flows are difficult to debug.
Error logs are not always useful.

Who is Integrate.io best suited for?

Integrate.io is best suited for small to medium-sized firms or departments of bigger enterprises that need to connect and automate their business systems and data quickly. It is especially ideal for firms with minimal IT resources or technical experience who need to swiftly integrate multiple platforms.

3. Estuary

Estuary Flow is a tool for creating real-time data pipelines (both data streaming and ETL). Before importing data into your destination systems, you can use Flow to apply transformations.

Top Features

The processing method employed is Streaming in real time
35+ destination connectors
100+ source connectors
Custom Connectors are accepted.
Unrestricted Sync Frequency of data

Pricing

You can get started for free. Pricing is $1/GB and Estuary supports non pay as you go, enterprise contracts.

Pros

Web application and CLI support that is simple to use.
Comprehensive coverage of large-scale technology systems, such as databases.
Data transformation with testing built in.
Data capture and processing in real-time.

Cons

An Estuary is a newer solution, thus it is undergoing quick evolution.

Who is Estuary best suited for?

It is best suited for businesses that require built-in schema validation and unit testing features to ensure data accuracy. There are data transformation and scalability features. Our system is accessible in both cloud-based and self-hosted configurations.

4. Upsolver

Upsolver is the easiest and most scalable data integration tool for teams dealing with high-volume, complex data continuously being loaded from streaming, files and operational database sources into Snowflake and Apache Iceberg-based Lakehouses. With Upsolver, you enforce data quality at the source minimizing the time and effort required to chase down and fix issues.

Top Features

Easy to use, no-code onboarding
Flexible developer experience using SQL, Python SDK and dbtCore integration
Hardened, production grade streaming, object store and database (CDC) connectors
Built-in data quality validation and alerting - detect and stop issues early
Built-in data observability - tool consolidation and integration

Pricing

Upsolver offers three editions that can be used on their managed cloud (SaaS) or as a fully managed solution deployed into your AWS VPC.

Each edition includes a base software fee, billed per month, that includes a set of features and support. In addition, users are charged for the amount of data they ingest (compressed).

Startup edition: $1,999/mo software license
Standard edition: $4,999/mo software license
Enterprise: Call for pricing

Data volume pricing can be found on their website

Pricing example: Startup edition, ingesting from Kafka to Snowflake at a rate of 10TB per month, the cost would be estimated at: $1,999 + $150 * 10TB = $3,499/mo.

Pros

Simple to use and requires almost no maintenance
Generates code that can be easily versioned, tested and automated
Guarantees exactly-once, ordered and deduped data
Built-in data quality and observability
APIs, Python SDK, and dbt Core integration
Supports writing to data warehouse, Lakehouse and Data Lake
Flexible architecture supporting ELT and ETL (with SQL transformations)

Cons

No SaaS source connectors
Only deploys on AWS
Startup edition includes additional charge for CDC connectors

Who is Upsolver best suited for?

Upsolver is ideal for organizations looking to put high-volume, production grade data integration in the hands of data producers. With Upsolver, they eliminate the need to manage manual tasks (scheduling, orchestration, dedupe, schema evolution) and easily comply with DataOps best practices (versioning, CICD, testing).

Source: https://www.upsolver.com/

5. Blendo

Blendo Rudderstack contains Blendo, a cloud data platform for no-code ELT. It speeds up the setup process with automation scripts, allowing you to begin importing Redshift data straight immediately.

Top Features

Data Filtering and Data Extraction
API Integration
Match & Merge
Master Data Management
Data Integration and Data Analysis

Pricing

Only three sources are available for free.
The Pro package costs $750 per month and includes modifications.
Pricing for enterprise plans can be customized.

Pros

45+ data sources were supported.
The platform is simple to use and does not necessitate any programming knowledge.
Monitoring and warnings are standard features.

Cons

There are only a few data sources that are supported.
Data transformations have a limited range of capabilities.
Additional data sources cannot be connected to Blendo by teams on their own.

Who is Blendo best suited for?

Blendo is best suited for Data teams looking for a no-code platform with a small number of data sources.

6. Stitch

Stitch, a data pipeline tool, is included with Talend. It controls data extraction and simple manipulations using a built-in GUI, Python, Java, or SQL. Extra services include Talend Data Quality and Talend Profiling.

Top Features

Replication Frequency
Warehouse views
Highly Scalable
Designed for High Availability
Continuous Auditing and Email alerts
Transform Nested JSON

Pricing

Available 14-day risk-free trial
The standard plan, starting at $100 per month, with up to 5 million active rows per month, one destination, and ten sources (limited to "Standard" sources)
At $1,250 per month, you can have an advanced package with up to 100 million rows and three locations.
At $2,500 a month, you can get a premium service with up to 1 billion rows and five locations.

Pros

Automations such as alarms and monitoring are advantageous.
More than 130 data sources were supported.
Connect to your data source ecosystem.
Based on open-source software
Simple, powerful ETL built for developers

Cons

No on-premise deployment option.
Every Stitch plan includes source and destination restrictions.

Who is Stitch best suited for?

Stitch is best suited for: Teams who use common data sources and need a simple tool for basic Redshift data import.

Source: https://www.stitchdata.com/

7. AWS Glue

Amazon Web Services (AWS) Glue, a fully managed extract, transform, and load (ETL) solution, makes it simple to transport data between data storage. It provides a simple and customizable mechanism for organizing ETL processes, and it can automatically discover and classify data to make it easy to search for and query.

The Glue Data Catalog, AWS Glue's single metadata repository, is used to store and track data location, schema, and runtime metrics.

Top Features

Integrated Data catalog
Serverless and High Scalability
Job authoring
Integration with other AWS services
Data integration with popular data stores and open-source formats
Automated code generation
Monitoring and troubleshooting

Pricing

Because AWS Glue is a pay-as-you-go service, users only pay for the resources they use. There are no startup costs or minimum charges while using AWS Glue. $0.44 per digital processing hour

Pros

Because AWS Glue is a completely managed service, users do not need to worry about configuring, maintaining, or updating the underlying infrastructure.
The user-friendly interface of AWS Glue allows users to easily build and manage data integration jobs.
Because AWS Glue is a pay-as-you-go service, users only pay for the resources they use.
Output formats supported include JSON, CSV, Excel, Parquet, ORC, Avro, and Grok.

Cons

To use AWS Glue effectively, customers must have an AWS account and be familiar with these other services.
Support for some data sources is limited: AWS Glue provides support for a variety of data sources, however not all data sources receive the same level of support.
Spark has difficulty handling joins with high cardinality.

Who is AWS Glue best suited for?

The greatest prospects are organizations that want to find, prepare, move, and combine data from several sources for analytics, machine learning (ML), and application development.

8. Apache NiFi

The Apache Software Foundation developed the web-based open-source data integration platform known as Apache NiFi, which stands for "Data Flow." The automated data flow between systems simplifies the movement and transformation of data from many sources to various targets.

NiFi includes built-in processors for common tasks including filtering, aggregation, and enrichment.

Top Features

Low latency and High throughput
Dynamic prioritization
Flow can be modified at runtime
Data Flow Automation
Extensibility and Customization
Scalability and high Data Security
Integration with Other Tools
Monitoring and Alerting
Easy to Use and Open-source

Pricing

Apache NiFi's pricing information may vary depending on the configuration prices you require. It is available for purchase on the AWS Marketplace. The Professional edition costs $0.25 per hour if purchased with an AWS account.

Pros

NiFi was designed to recover from faults without losing data.
NiFi includes built-in security mechanisms such as encryption, authentication, and authorization to protect data in transit and at rest.
NiFi has processors for common tasks such as filtering, aggregation, and enrichment. It can connect to a wide range of data sources and objectives.

Cons

If a node is disconnected from the NiFi cluster while a user is modifying it, the flow.xml becomes invalid.
When the primary node transitions, Apache NiFi experiences state persistence issues, which occasionally prohibits processors from retrieving data from sourcing systems.

Who is Apache NiFi best suited for?

Apache NiFi is a fantastic fit for enterprises that need to process and analyze enormous amounts of data in real-time or near real-time.

9. IOBlend

IOblend is an end-to-end enterprise data integration solution with DataOps capability built into its DNA.

Built on top of the kappa architecture and utilizing an enhanced version of Apache Spark™, IOblend allows you to connect to any data source, perform in-memory transforms of streaming and batch data, and sink the results to any destination. There is no need to land your data for staging – perform your ETL in flight, which greatly reduces development and processing times.

Top Features

Real-time, production grade, managed Apache Spark™ data pipelines in minutes, using SQL or Python
Low code / no code development, significantly accelerating project delivery timescales (10x)
Automated data management and governance of data while in-transit - record-level lineage, metadata, schema, eventing, CDC, de-duping, SCD (inc. type II), chained aggregations, MDM, cataloguing, regressions, windowing, partitioning
Automatic integration of streaming and batch data via Kappa architecture and managed DataOps
Enables robust and cost-effective delivery of both centralised and federated data architectures
Low latency, automated, massively parallelized data processing, offering incredible speeds (>10m transactions per sec)

Pricing

IOblend is a licensed, desktop application product (not SaaS).

IOblend offers a free Developer Edition that includes the full suite of features. It can be downloaded from their website.

There are also various Enterprise Editions, with prices starting from $4,199/month for a Standard License (includes standard support and training)

It is best to contact to discuss the requirements.

Pros

Uses managed Spark for true streaming and batch processing Simple to use after a short initial training
Business rules in SQL and Python – no Spark coding skills needed Virtually no maintenance in prod
Monitoring and alerting of data and schema changes (based on defined thresholds)
Data pipeline components stored in JSON format for ease of re-use and collaboration
Built-in automated data management and technical governance
Connects to any data source and sink, using APIs, JDBC, EBS, files
Automatically creates and maintains data warehouses and tables
Deploys on client’s infrastructure, thus fully utilizing their stringent security protocols

Cons

No SaaS source connectors
Suggest initial training to get acquainted
Currently only works on WinOS (MacOS coming soon)
Simplistic UI and basic documentation

Who is IOBlend best suited for?

IOblend is best suited for Operational Analytics cases, where speed, data quality and reliability are paramount. Use cases include streaming live data from factories to the automated forecasting models; flowing data from IoT sensors to real time monitoring apps that make automated decisions based on live inputs and historic stats; moving production grade streaming and batch data to and from cloud data warehouses and lakes; powering data exchanges; and feeding applications with data that requires complex business rules and governance policies.

Fully compliant with DataOps practices for testing, CI/CD and versioning.

10. Fivetran

Fivetran is a cloud-based data integration platform that assists enterprises in automating data transfer from several sources to a central data warehouse or another place.

Fivetran uses a fully managed, zero-maintenance architecture, which means that tasks such as data translation, data quality checks, and data deduplication are performed automatically.

Top Features

Complete integration
Fast deployment
Important notifications are always up to date
Fully managed
Personalized setup and Raw data access
Connect any BI tools
Directly mapped schema and Integration monitoring

Pricing

Fivetran's three editions range in price from $1 to $2.

The Starter edition is $1 per credit.
Each credit costs $1.5 in the regular edition.
The Enterprise edition costs $2 per credit.

Pros

Managed services strategy
Pre-built data analytics schemas
Low operating expenses

Cons

Limited Data Transformation Support
Capabilities for enterprise data management are weak.

Who is Fivetran best suited for?

Best suited for an organization looking to eliminate the need for manual data integration methods and reduce the time and resources required to manage data pipelines would find it highly useful.

11. Dataddo

Dataddo is a data integration ETL software that allows you to transport data between any two cloud services. CRM tools, data warehouses, and dashboarding software are examples of such products and services.

Top Features

Managed Data Pipelines
200+ Connectors
Infinitely Scalable
No-Code
Supports ETL, ELT, Reverse ETL
Free Pricing Tier

Pricing

Dataddo provides four plans.

Offers free Sync data with any visualization tools, such as containing three data flows, once a week.
Data to Dashboards charges $129 per month for hourly data synchronization to any visualization program.
Data Anywhere offers Sync data between any sources and any destinations for $129 a month.
allows for Headless Data Integration Build your data products and additional payment mechanisms on top of the unified Dataddo API.

Pros

Countless Data Extraction Possibilities
A straightforward dashboard
The massive quantity of options

Cons

The free edition only includes pre-built connectors.
The free product version only includes three data flows. A data flow is a connection between a source and a destination in Dataddo's service.

Who is Dataddo best suited for?

Best for a non-technical user that does not need many adjustments and wants to incorporate data from applications into their business intelligence tools.

12. Domo

Domo Business Cloud is a cloud-based SaaS that allows you to build ETL pipelines and combine data from several sources. It acts as an intermediary between your data sources and your data destination (data warehouse), allowing you to extract data from the former and load it into the latter.

Top Features

Collaboration & Social BI
Analytics Dashboards
Ease of use for content consumers
Mobile Exploration and Authoring
Interactive Visual Exploration
Ease of use to deploy and administer

Pricing

The base plan is $83.00 per month.
A professional plan costs $160.00.
A company strategy will set you back $190.00.

Pros

Data may be extracted using over 1,000 pre-built connectors.
Domo is compatible with on-premises deployments as well as numerous cloud vendors (AWS, GCP, Microsoft, etc.).
On the dashboard, ETL pipelines can be established using SQL code or no-code visualization tools.

Cons

Because pricing models are tailored for each customer, you will need to contact sales to obtain a quote.
Some customers complain that when you start changing the scripts and abandon the pre-built automated extractions, Domo stops performing efficiently.

Who is Domo best suited for?

Ideal for Enterprise users who want Domo to be their primary cloud provider for data integration and extraction.

13. Jaspersoft ETL/Talend Open Studio

Users can use the open-source data integration platform Jaspersoft ETL to construct, develop, and execute data integration and data transformation processes (formerly known as Talend Open Studio for Data Integration).

Top Features

Drag-and-drop process designer
Activity monitoring
Dashboard analyzes job execution and performance
Native connectivity to ERP and CRM applications such as Salesforce, SAP, and SugarCRM

Pricing

Standard plans can range from $100 to $1,250 per month, depending on the size; annual payments are subsidized.

Pros

Talend Open Studio lowers developer rates by halving data handling time.
Working with large datasets necessitates the dependability and effectiveness of Talend Open Studio. Furthermore, functional mistakes occur far less frequently than they do with manual ETL.
Talend Open Studio can interact with a variety of databases, including Microsoft SQL Server, Postgres, MySQL, Teradata, and Greenplum.

Cons

A license may be a detriment to firms looking for a free or low-cost data integration and transformation solution.
Third-party software dependency: To function, Jaspersoft ETL requires Java and other third-party software components.

Who is Jaspersoft ETL/Talend Open Studio best suited for?

Best suited for Organizations that require a dependable, scalable solution for data integration and transformation. Jaspersoft ETL will assist organizations that require data integration with reporting, data visualization, and business intelligence solutions.

14. CloverDX

CloverDX was one of the first Open-Source ETL Tools. It has a Java-based data integration framework that can transform, map, and deal with data in many formats.

Top Features

Data Filtering and Data Analysis
Match & Merge
Data Quality Control
Metadata Management
Version Control
Access Controls/Permissions
Third-Party Integrations

Pricing

CloverDX Designer and CloverDX Server. Each has a 45-day trial period followed by established prices.

Pros

Automate difficult operations
Before sending data to the destination system, double-check it.
Create data quality feedback loops in your operations.

Cons

The learning curve is a little steep at first. Just a little bit steep, but not too steep or too steep.
Having enough memory for large multi-step problems may become a challenge if the graph is improperly constructed.

Who is CloverDX best suited for?

This software is best suited for all extract, convert, and load jobs and is ideally suited for large data processing.

15. Informatica PowerCenter

Informatica Corporation has made an ETL tool available. This tool allows you to connect to and retrieve data from multiple data sources. According to Informatica, the best implementation ratio is 100%. Instructions and software accessibility are significantly simpler than in prior ETL operations.

Top Features

Role-based tools and agile processes
Graphical and code-free tools
Grid computing
Distributed processing
High availability, adaptive load balancing, dynamic partitioning, and pushdown optimization.

Pricing

Professional Edition - This is a pricey edition that requires a license, with an annual cost of $8000 per user.
Personal Edition - You can use it for free and as needed.

Pros

It includes intelligence to boost performance.
It aids in the update of the Data Architecture.
It provides a distributed error-logging system that logs errors.

Cons

Workflow and mapping debugging in Informatica PowerCenter are challenging.
Lookup transformation consumes more CPU and memory on large tables.

Who is Informatica PowerCenter best suited for?

Best suited for Any business that can benefit from cheaper training costs, and adopting this software makes it simple to hire new employees.

16. Apache Airflow

Apache Airflow is an open-source framework for authoring, scheduling, and monitoring processes programmatically. It is developed in Python and configures workflows as directed acyclic graphs (DAGs) of jobs using a top-down approach. Airflow was created in 2014 by the firm AirBnB and has since become one of the most popular open-source projects in the data engineering area.

Top Features

Workflow authoring
Open source
Rigidity and Scalability
Airflow includes a web-based UI for monitoring the status of workflows and tasks, as well as a built-in system for sending alert emails when activities fail.
Dynamic DAG(directed acyclic graphs) generation

Pricing

Airflow is free and open-source software distributed under Apache License 2.0.

Pros

Python usage results in a huge pool of IT expertise and greater productivity.
Everything is written in code, giving you complete control over the logic.
Multiple schedulers and task concurrency: scalability horizontally and high performance
A plethora of hooks: flexibility and simple integrations

Cons

Workflows are not versioned.
Inadequate documentation.
The difficulty of production setup and maintenance

Who is Apache Airflow best suited for?

It is especially well-suited for use cases with complicated workflows that necessitate a high level of flexibility and control. Companies that have a large amount of data and need to process it reliably and effectively can use it.

17. Qlik Compose

Qlik Compose is a data integration and data management platform by Qlik, a business intelligence, and data visualization software firm. Qlik Compose is intended to assist enterprises in integrating, managing, and governing their data across several systems, databases, and file types.

Top Features

Data Streaming in Real Time (CDC)
Automation of Agile Data Warehouses
Create a Managed Data Lake

Pricing

Data Analytics Strategy Qlik Sense Business costs $30 per user per month.
Contacts the sales team for Qlik Sense Enterprise SaaS under the Data Analytics category.
Contact the sales team for the Qlik Cloud Data Integration category.

Pros

Qlik Compose is designed to be simple to use, with a web-based user interface that lets you simply connect to data sources, create and change data models, and manage data.
It has a very fast replication speed.
It is quite simple to scale up big data-integrated projects, which saves a lot of money.

Cons

Because Qlik Compose is not open source, it is not free to use. It is proprietary software, and you must pay for a license.
Connectivity is limited
It's a bit heavy for a small environment.

Who is Qlik Compose best suited for?

It is ideal for organizations that wish to transmit data safely and efficiently with minimizing operational impact.

18. IBM Infosphere Datastage

IBM InfoSphere DataStage is an IBM data integration and management platform. It is a component of the IBM InfoSphere Information Server Suite and is intended to assist enterprises in extracting, transforming, and loading (ETL) data across various systems, databases, and file formats.

Top Features

A high-performance parallel framework that can be deployed on-premises or in the cloud. Allows for the quick and easy deployment of integration run time on your preferred cloud environment.
Enterprise connectivity and expanded metadata management.
By transparently handling endpoint individuality, it yields enormous productivity improvements over coding.

Pricing

The Small On IBM Cloud Managed package costs $19,000 per month.
The medium IBM Cloud Managed plan costs $35400 per month.
The Large plan on IBM Cloud Managed starts at $39,400 per month.
For Enterprise Edition, please contact the sales team.

Pros

Workload and business rules implementation
Uses design automation and prebuilt patterns to provide a quick development cycle.
Integration of real-time data and an easy-to-use platform

Cons

Integration of DataStage with cloud
Database management with DataStage
Manipulation of deep functions is difficult.
Cloud services make it difficult to manipulate tools.
The hierarchical phases for parsing and building XMLs and JSONs might be improved.

Who is IBM Infosphere Datastage best suited for?

It is particularly well-suited for enterprises that need to handle data in parallel processing and have a budget for commercial solutions. It makes it easier for businesses to exploit new data sources by including JSON support and a new JDBC connection.

19. SAP BusinessObjects Data Services

SAP BusinessObjects Data Services (BODS) is the company's data integration and data management platform. BODS is an SAP BusinessObjects BI (Business Intelligence) platform component that connects with other SAP products such as SAP HANA and SAP BW (Business Warehouse).

Top Features

SAP BODS is a platform that combines industry-leading data quality and integration.
It supports multi-users.
It includes extensive administrative capabilities as well as a reporting tool.
It supports parallel transformations with great performance.
With a web-services-based application, SAP BODS is extremely adaptable.
It supports scripting languages with extensive function sets.

Pricing

SAP BusinessObjects Data Service does not have a free version. SAP BusinessObjects Data Service paid version starts at $35,000.00/year.

Pros

Excellent scalability
With a drag-and-drop interface, analysts or data engineers can begin utilizing this tool without any specific coding expertise.
The tool also allows for versatility in data creation by allowing for numerous ways to load data to SAP, such as BAPIs, IDOCS, and Batch input.

Cons

High buying price
Data Services are geared toward development teams rather than business users.
The debugging functionality of Data Services is not as sophisticated as other tools

Who is SAP BusinessObjects Data Services best suited for?

SAP BusinessObjects Data Services is best suited for enterprises already invested in the SAP ecosystem, particularly those employing SAP HANA and SAP BW. It is also appropriate for businesses that require the integration, management, and governance of huge amounts of data and have a budget for commercial solutions.

20. Hevo Data

Hevo Data is a data management and integration tool designed to help businesses integrate data from various sources. Hevo Data is a cloud-based platform, customers do not need to worry about installing, configuring, or maintaining the underlying infrastructure.

Hevo allows you to copy data in near real-time from over 150 sources, including Snowflake, BigQuery, Redshift, Databricks, and Firebolt.

Top Features

Automated Data Pipeline
100+ Data Sources Supported
Real-time Data Replication
No-code Data Transformation
Data Quality and Governance
Multi-cloud Support
Scalability
24/7 Support
Dashboard and Reports
Data Modeling
Retry Mechanism

Pricing

Up to a million occurrences are free, but only from more than 50 data sources.
Beginner: $239 per month.
Individual quote for business

Pros

Because Hevo Data is a fully managed, cloud-based platform, users don't have to worry about installing, configuring, or maintaining the underlying infrastructure.
The user-friendly interface of Hevo Data allows users to simply build and manage data integration jobs.
Hevo Data easily integrates with a wide range of tools and platforms, including reporting, data visualization, and business intelligence applications.
Hevo also allows you to monitor your workflow to address issues before they fully halt it.

Cons

Because Hevo Data is a commercial software application, it requires a license to use.
Hevo Data supports a wide range of data sources, albeit not all of them are supported or not to the same extent.
Excessive CPU Utilization

Who is Hevo Data best suited for?

Hevo Data is a powerful and versatile data management and integration solution perfect for enterprises looking for a scalable, fully managed, and user-friendly platform for moving and combining data. Hevo is ideal for data teams looking for a no-code platform with Python programming freedom and well-known data sources.

Source: https://hevodata.com/

21. Enlighten

Enlighten is a product suite for automated data management. Its users may accurately and efficiently determine and comprehend the genuine picture of their organization's data.

Top Features

Data profiling, discovering, and monitoring
Data matching
Data Enrichment
Web services and API integration
Data cleansing and Data integration
Address validation and geocoding
Real-time data quality

Pricing

Pricing information is not publicly available. To obtain a price quote, please contact the sales staff.

Pros

Lower expenses
Created a true customer view
Improves operational efficiency

Cons

For users who are unfamiliar with the platform, there may be a high learning curve.
Because the platform may be unable to manage missing, duplicate, or erroneous data, data quality tests may be required before importing the data.

Who is Enlighten best suited for?

It is most suited for clients who require accurate and efficient data from the start, as well as the ability to retain it throughout time. Enlighten features an end-to-end data quality suite that provides organizations of all sizes with configurable and comprehensive solutions.

22. Azure Data Factory

Microsoft Azure Data Factory (ADF) is a cloud-based data integration and data management tool. It is a component of the Azure platform that is intended to assist enterprises in extracting, transforming, and loading (ETL) data across various systems, databases, and file formats. ADF helps you to build, schedule, and manage data pipelines that move and convert data between different data stores.

Top Features

ADF provides a graphical interface for designing, scheduling, and managing data pipelines, which allows you to move and transform data between data storage.
ADF is created in the cloud and uses Azure services such as Azure Data Lake Storage, Azure SQL Database, and Azure Data Warehouse.
Customer Pipeline
Monitoring and Debugging
Orchestrator

Pricing

Factory activities in Azure Data The cost of read/write starts at $0.50 for every 50,000 modified/referenced entities.
Monitoring begins at $0.25 per 50,000 run records obtained.

Pros

ADF is built to handle massive volumes of data and can extend horizontally by adding more nodes to the cluster.
The trigger scheduling options are adequate.
The UI is simple to use and can get VTL code without the need for advanced coding knowledge.

Cons

When an error occurs, there is no built-in pipeline exit activity.
Azure Data Factory consumes a lot of resources and has problems with parallel operations.
The pricing approach should be more transparent and accessible via the internet.

Who is Azure Data Factory best suited for?

Azure Data Factory is best suited for enterprises that want to combine and manage data from a variety of data sources and systems while also using the Azure ecosystem. It is also appropriate for enterprises that require a cloud-based, scalable data integration solution with a focus on data transportation and data transformation capabilities.

23. ETLWorks

Etlworks is a modern, cloud-first, any-to-any data integration platform that grows with your company. They use data to help people and organizations solve their most difficult problems.

Top Features

Cloud-based solution
Enterprise Service Bus
Change Replication
Support for online data warehouse
Automatic and manual mapping

Pricing

Starts from $250 per month.

Pros

Implementation simplicity.
Excellent data warehouse tool!
ETL works integrator is a fantastic tool for merging operational efficiencies and data mapping across the company!

Cons

There are no debugging tools available.
ETLworks may not effortlessly interact with other systems or technologies that an organization already employs.

Who is ETLWorks best suited for?

It is an excellent tool for merging operational efficiencies and data mapping across the organization!

24. Microsoft SQL Server Integration Services (SSIS)

SSIS is a platform for developing high-performance data integration and workflow solutions in Microsoft SQL Server. It is a component of the Microsoft SQL Server database program that is used to execute data integration and transformation activities.

Top Features

Data source connections built-in
Tasks and transformations are built in.
Source and destination ODBC
Connectors and tasks for Azure data sources
Tasks and Hadoop/HDFS connections
Tools for basic data processing

Pricing

SSIS is part of SQL Server, which comes in a variety of editions ranging from free (Express and Developer editions) to $14,256 per core (Enterprise),

Pros

It is widely used, well-documented, and has a sizable user base.
It is scalable, can handle massive amounts of data, and can scale up to petabytes of data.
Destination for dimension and partition processing
Transformations for term extraction and term lookup

Cons

It necessitates a separate installation and configuration, adding to the total complexity of the data integration procedure.
It does not support cloud storage natively, such as S3, Azure storage, and others, and requires additional connectors to integrate with them.
It is not suitable for complicated real-time data integration applications.
If you have many packages that need to run in parallel, you have a problem. SSIS consumes a lot of memory and interferes with SQL.

Who is Microsoft SQL Server Integration Services (SSIS) best suited for?

It's great for solving complicated business problems including uploading or downloading files, sending e-mail messages in reaction to events, updating data warehouses, cleaning and mining data, and managing SQL Server objects and data.

25. AWS Data Pipeline

AWS Data Pipeline is a web service that allows you to process and transport data between data stores. It enables you to create data-driven workflows that execute actions on a scheduled, repeated, or on-demand basis.

Top Features

Scheduling and automation of data transit and processing tasks
Amazon S3, Amazon RDS, Amazon DynamoDB, and additional data sources and destinations are supported.
AWS Glue, Apache Hive, and Pig scripts are used to transform data.
Data movement and processing across AWS regions and accounts
Other AWS services, such as AWS Step Functions, Amazon SNS, and Amazon CloudWatch, are integrated.

Pricing

Activities or preconditions running on AWS start at $1.00 per month for high frequency and $0.60 per month for low frequency.
On-premise activities or preconditions begin at $2.50 per month for high frequency and $1.50 per month for low frequency.

Pros

It is a completely managed service, which means you don't have to bother about infrastructure provisioning or management.
It supports many data sources and destinations, as well as a variety of transformations.
It enables data movement and processing between AWS regions and accounts, which can aid with data sovereignty and compliance.
It's designed to function in tandem with other AWS services, making it simple to create data integration workflows with many steps.

Cons

It doesn't have as many data sources and destinations as other data integration solutions.
Complex service if you're unfamiliar with AWS services
The pipeline definition language is not as user-friendly as those used by other data integration systems.

Who is AWS Data Pipeline best suited for?

It is best suited for businesses that require fault-tolerant, repeatable, and highly available complex data processing workloads. Scenarios involving data integration necessitate data transfer and processing across regions or accounts.

26. Skyvia

Skyvia is a cloud-based data integration and management platform that assists enterprises in connecting and managing data across cloud and on-premise apps and databases.

Top Features

Salesforce, Dynamics, Zoho, SQL Server, MySQL, Oracle, and more data sources and destinations are supported.
Real-time data integration requires data replication and synchronization.
Capabilities for data backup and restoration
Features for data quality and validation
Direct data connectivity between apps
Backup automation scheduling settings
A wizard to ease local database connections

Pricing

The most basic package starts at $15 per month. The standard plan is $79 per month, while the Professional plan costs $399 per month. Contact customer service for the Enterprise plan.

Pros

It is a fully managed, cloud-based service, so you don't have to bother about infrastructure provisioning or management.
It provides a variety of data integration capabilities such as replication, synchronization, and data validation to help assure the quality of your data.
Skyvia excels at bidirectional data integration from/to numerous sources on a scheduled basis.
The mapping is done automatically, which saves a significant amount of time.
There are numerous integration features.

Cons

It doesn't have as many data sources and destinations as other data integration solutions.
The synchronization process could be made a little faster.
There is no real-time support.
It is not designed for real-time data integration in complex or high-volume scenarios.

Who is Skyvia best suited for?

It's especially valuable for businesses that need to consolidate data from numerous cloud-based systems and sources and make it available for reporting, analytics, and other mission-critical applications.

27. Toolsverse

Toolsverse LLC is a privately held software firm headquartered in Pittsburgh, Pennsylvania. The company focuses on unique data integration solutions. Its core products include platform-independent ETL tools, data integration, and database creation. Using a drag-and-drop visual designer and scripting languages such as JavaScript, users can create complex data integration and ETL scenarios in the Data Explorer.

Top Features

Embeddable, open source, and free
Fast and scalable
Uses target database features to do transformations and loads
Manual and automatic data mapping
Data streaming
Bulk data loads

Pricing

The personal edition is free, whereas ETL Server costs $2000.

Pros

SQL, JavaScript, and regex are used to improve data quality.
Easy to Start
No coding unless you want to
Customizable

Cons

When connecting Toolsverse ETL with other systems, some users may encounter challenges that are time-consuming and difficult to overcome.
Toolsverse ETL may not contain connectors for all of the data sources that a company may want to integrate, requiring additional development work to accommodate them.

Who is Toolsverse best suited for?

It can be a viable alternative for businesses looking for a low-cost solution that does not necessitate considerable development work.

28. IRI Voracity

IRI Voracity is a data management and integration platform created by IRI, a software company specializing in data management and analytics. It is intended to assist enterprises in integrating, managing, and analyzing huge amounts of data from many sources, such as databases, files, and apps.

Top Features

Data transformation and Data segmentation
Job Design
Embedded reporting
BIRT, DataDog, KNIME, and Splunk integrations
JCL data redefinition
CoSort (SortCL) 4GL DDL/DML

Pricing

It offers a free trial period. You can license the platform as an operating expense (OpEx), or as a capital investment for permanent use (CapEx). Contact the sales team for a quote.

Pros

Consolidates products simplify metadata and save I/Os
Leave legacy sort software faster
Faster, free visual BI in Eclipse
Automated, custom table analysis
It includes strong data governance and security features.

Cons

For beginners, the platform may be difficult to utilize.
The solution has a high cost, and it might be an expensive investment for small firms.
More sophisticated activities may necessitate the use of specialized technical skills.

Who is IRI Voracity best suited for?

IRI Veracity enables enterprises to locate, understand, and regulate data across the enterprise, while also improving data accuracy and trustworthiness. IRI Voracity is typically used by major corporate firms in a variety of industries including healthcare, banking, retail, and manufacturing.

29. Dextrus

Dextrus is a complete and comprehensive no-code high-performance solution that aids in the creation, deployment, and management of assets. Data ingestion, streaming, cleansing, transformation, analyzing, wrangling, and machine learning modeling is all supported.

Top Features

Create batch and real-time streaming data pipelines in minutes, then automate and operationalize them using the built-in approval and version control system.
Create and maintain a simple cloud Data lake for cold and warm data reporting and analytics.
Using visualizations and dashboards, you may analyze and acquire insights into your data.
Prepare datasets for sophisticated analytics by wrangling them.
Construct and deploy machine learning models for exploratory data analysis (EDA) and prediction.

Pricing

Offers a 15-day free trial. To obtain a quote, please contact the Sales team.

Pros

Quick Insight on Dataset
Query-based and Log-based CDC
Anomaly detection
Push-down Optimization
Data preparation at ease
Analytics all the way

Cons

It may not be appropriate for firms that do not have a large amount of data to examine.
There is sometimes a lag and it hangs.

Who is Dextrus best suited for?

Dextrus is best suited for businesses that want a complete and comprehensive no-code high-performance solution for asset development, deployment, and administration.

30. Astera Centerprise

Astera Centerprise is an Astera Software data integration and management platform. It is intended to assist enterprises in integrating, managing, and analyzing huge amounts of data from several sources, such as databases, files, and apps.

Top Features

Bulk/Batch Data Movement
Data Federation/Virtualization
Message-Oriented Movement
Data Replication & Synchronization

Pricing

Pricing information is not publicly available. Please contact sales for further information.

Pros

Simple user interface/GUI for interacting with the application
Very adaptable and scalable
Excellent Customer Service
Data transformation between data sources.
The ability to distribute files to a variety of destinations.

Cons

Ability to direct logging to a tool other than the built-in logger.
A workflow can take hours to process with a huge dataset. It is difficult to quickly add a row index without doing additional procedures.
The performance is a little lacking.

Who is Astera Centerprise best suited for?

It is a versatile solution that can be tailored to a company's requirements, and it has a plethora of features and functionalities that can be used to increase data governance, data quality, and data security.

31. Improvado

Improvado is a data integration and analytics platform that enables companies to connect, organize, and analyze data from many sources. It's intended to assist businesses to enhance their marketing and sales performance by giving a unified picture of their data.

Top Features

Allows data from many sources, such as advertising platforms, marketing automation systems, and CRM software, to be integrated.
Dashboards and reports
Support for different cloud environments
AI-based insights
About 80 SaaS sources
Demand Generation.

Pricing

All new users receive a 14-day trial period. Standard plans range in price from $100 to $1,250 per month, with reductions for paying annually. Enterprise plans, which are priced individually for larger enterprises and mission-critical use cases, might include unique features, data amounts, and service levels.

Pros

Deep and granular marketing integrations allow you to examine data at the keyword or ad level.
Ability to normalize exported metrics, build custom metrics, and map data across platforms
It enables users to deduplicate and enrich data from many sources to meet the diverse needs of a client.
Excellent for advertising organizations handling campaigns for several clients.
View ad creatives directly from your dashboard --- This function is quite useful, and I've never seen it offered anywhere else!
90% less time is spent on manual reporting.
There is no need for developers.
Completely customizable, with over 300 connectors available and more integrations available upon request

Cons

It may not be appropriate for firms that do not have a large amount of data to examine.
The platform may be more expensive than other options.
Some of the more detailed features might be confusing, but assistance is excellent at guiding consumers through them.
There may be some initial back and forth with your customer support representative to have your dashboards and reports visualized exactly the way you want.

Who is Improvado best suited for?

Improvado is best suited for firms that need to improve their marketing and sales performance and have a large amount of data to analyze. Organizations in a range of industries, including e-commerce, healthcare, banking, and retail, can use it.

32. Onehouse

Onehouse offers the original lakehouse as a service with quick setup and ingest, incremental ETL, data processing, and data management.

Top Features

Onehouse offers industry-leading fast data ingest into the lakehouse to provide fresher data at lower cost for real-time and batch pipelines
Onehouse uses open standards at every step, avoiding vendor lock-in
Onehouse is easy to use with a no-code ETL UI in addition to an API for authoring complex pipelines
Onehouse automates data quality checks and data quarantine, and provides full visibility with pre-built dashboards
Onehouse keeps you in control of your data, reducing dependency on competing, proprietary platforms

Pricing

Onehouse charges credits based on compute usage to provide flexible pricing for any workload. Onehouse offers a free trial for new customers.

Pros

Real-time data ingestion into the lakehouse with latency of seconds to minutes (not hours to days)
ETL is fully incremental so you only write data that has changed Onehouse handles the full ETL lifecycle from ingestion to transformations to data management
Data ingested by Onehouse lives in your cloud account in any open table format, so the data is yours and you can run queries anywhere

Cons

Onehouse only offers ETL for data lakehouses, not data warehouses
No tail connectors; users must stage tail data in a supported source like S3 or Kafka

Who is Onehouse best suited for?

Onehouse is best suited for teams seeking to improve data freshness and reduce data warehouse costs without managing the complexities of a DIY data lakehouse.

Source: https://www.onehouse.ai/

33. Sybase ETL

Sybase is a market leader in data integration. The Sybase ETL tool is designed to load data from various data sources, transform it into data sets, and then load it into the data warehouse.

Sub-components of Sybase ETL include Sybase ETL Server and Sybase ETL Development.

Top Features

Simple graphical user interface for creating data integration jobs.
It is simple to understand, and no additional training is required.
The dashboard provides a fast overview of where the processes are at.
Real-time reporting and improved decision-making.
It only works with the Windows operating system.
It reduces the cost, time, and human effort required for the data integration and extraction process.

Pricing

There is no pricing information available. For price information, please contact the sales team.

Pros

It can extract data from a variety of sources, including Sybase IQ, Sybase ASE, Oracle, Microsoft Access, Microsoft SQL Server, and many others.
It enables you to load data into a target database in bulk or via delete, update, and insert statements.
It can cleanse, integrate, convert, and split data streams. This can then be used to enter, update, or delete information from a data target.

Cons

Gaps in many aspects of data management
The platform may be more expensive than other options.
More sophisticated activities may necessitate the use of specialized technical skills.

Who is Sybase ETL best suited for?

It's worth noting that Sybase ETL is best suited for enterprises with a significant volume of data that require regular extraction, transformation, and loading of data. It is also ideal for companies with a technical team capable of deploying and maintaining the solution.

34. Cognos Data Manager

ETL operations and high-performance business intelligence are carried out using IBM Cognos Data Manager. It offers the unique characteristic of multilingual support, which allows it to construct a global data integration platform. IBM Cognos Data Manager automates business operations and is available for Windows, UNIX, and Linux.

Top Features

A graphical user interface is used to create data integration and transformation jobs.
Support for numerous data sources, including relational databases, flat files, and cloud-based data sources like Salesforce and Google Analytics.
Data quality and data profiling features are built in to assist in identifying and correcting data issues.
The capacity to plan and execute data integration and transformation tasks
Support for incremental data loading, allowing organizations to update their data warehouse with new or altered data without reloading the full dataset.

Pricing

There is no pricing information available.

Pros

The graphical user interface allows users to create data integration and transformation operations without having to code.
Because Cognos Data Manager supports a wide range of data sources, businesses can simply integrate data from many sources into their data warehouses.
Businesses can use built-in data quality and data profiling tools to discover and correct data issues.

Cons

Businesses must rely on the vendor for updates and support.
Firms must have the IBM Cognos BI platform to use it, hence the cost may be extremely significant.
Some users may find the interface confusing, especially those who are new to data integration and transformation.

Who is Cognos Data Manager best suited for?

Cognos Data Manager is ideal for enterprises that require the integration and transformation of data from numerous sources for analysis in a data warehouse or data mart, as well as built-in data quality and data profiling features. It is frequently used in medium to large companies.

35. Matillion

Matillion is a cloud-based data integration and transformation platform that assists enterprises in extracting data from several sources, transforming it, and loading it into data warehouses.

Top Features

A user-friendly interface for creating data integration and transformation pipelines.
Support for numerous data sources, including relational databases, flat files, and cloud-based data sources like Amazon S3 and Google Sheets.
Data transformation tools built in, such as filtering, pivoting and merging data
The capacity to plan and execute data integration and transformation tasks
Monitoring and logging features are included to aid with troubleshooting and auditing.

Pricing

The basic plan costs $2.00 per credit.
The advanced plan starts at $2.50 per credit.
Enterprise plans begin at $2.70 per credit.

Pros

Users may easily design data integration and transformation pipelines using the user-friendly drag-and-drop interface, eliminating the need for coding.
Because Matillion supports a wide variety of data sources, businesses may quickly combine data from many sources into their data warehouses.
Businesses can use built-in data transformation tools to clean and prepare data for analysis.

Cons

Because Matillion is proprietary software, organizations must rely on the vendor for updates and support.
Some users may find the interface confusing, especially those who are new to data integration and transformation.
The platform may lack the depth of certain more sophisticated ETL systems.

Who is Matillion best suited for?

Matillion is ideal for enterprises that require the integration and transformation of data from numerous sources for analysis in a data warehouse. It's an excellent choice for small and medium-sized organizations, startups, and large enterprises looking to harness the power of the cloud without investing in costly infrastructure.

36. Oracle Warehouse Builder

Oracle Warehouse Builder (OWB) is a data integration and data modeling tool used on the Oracle Database platform to create and manage data warehouses and data marts. It provides a graphical environment for creating and constructing tasks related to data integration, data quality, and data modeling.

Top Features

Data source connection
Data transformations
Data modeling
Data warehousing
It can be used in conjunction with other Oracle technologies such as Oracle BI and Oracle Data Integrator.

Pricing

It is included with the most recent version of the Oracle database. You must pay an additional fee for support and software license updates.

Pros

Oracle Warehouse Builder is part of the Oracle Database ecosystem, which means it is strongly integrated with it and may benefit from its features and capabilities.
Allows for the creation and deployment of enterprise data warehouses.
Allows for the creation and deployment of data marts and e-business.

Cons

Enterprises must rely on the vendor for updates and support.
Firms must have the Oracle Database to use it, which can be rather pricey.
There isn't any good learning material available.
Poor mapping transformation automation

Who is Oracle Warehouse Builder best suited for?

It is especially well suited for firms who already use the Oracle Database and want to leverage its built-in data warehousing features. It is primarily utilized by medium to big companies because it is part of the Oracle ecosystem.

37. SAP - BusinessObjects Data Integrator

SAP BusinessObjects Data Integrator (BODI) is a data integration tool included with the SAP BusinessObjects BI platform. It enables enterprises to extract, transform, and load data into a data warehouse or data mart from a variety of sources, including relational databases and flat files.

Top Features

It aids in the integration and loading of data in the analytical environment.
The Data Integrator web administrator is a web-based interface for managing multiple repositories, metadata, web services, and task servers.
It aids in the scheduling, execution, and monitoring of batch jobs.
It is compatible with Windows, Sun Solaris, AIX, and Linux.
It is compatible with other SAP BusinessObjects technologies like SAP BusinessObjects Data Services and SAP Business Warehouse.

Pricing

The plan starts at EUR 35000.

Pros

Batch jobs can be executed, scheduled, and monitored using SAP BusinessObjects Data Integrator.
You may also use this tool to create any form of Data Mart or Data Warehouse.
It supports the platforms Sun Solaris, Windows, AIX, and Linux.
Integration with other SAP BusinessObjects products helps improve data integration functionality and efficiency.

Cons

Writing customized components is a difficult task.
BODI should have some data quality integration in addition to ETL.
Code documentation is ready, and component commenting is integrated.

Who is SAP - BusinessObjects Data Integrator best suited for?

It is best suited for businesses that need to extract data from any source, process, integrate, and format that data, and then save it in any target database.

38. Oracle Data Integrator

Oracle Data Integrator (ODI) is an Oracle Corporation-developed and owned data integration tool. It is a component of Oracle's data integration platform, which also includes Oracle GoldenGate and Oracle Data Quality. ODI is intended to help developers create data integration solutions for a variety of use cases, including data warehousing, data transfer, and real-time data integration.

Top Features

There is training, support, and professional services available.
Proprietary Licensing
Design And Development Environment
Integration with databases, Hadoop, ERPs, CRMs, B2B systems, flat files, XML, JSON, LDAP, JDBC, and ODBC out of the box. Java must be installed as well.

Pricing

A single processor deployment costs around $36,400.

Pros

Provides a wide range of functions for performing difficult data integration jobs.
Provides a scalable, high-performance solution
Native big data Support
Leading Performance and Improved Productivity

Cons

When compared to its competitors, the price is slightly higher.
There is sometimes a lag and it hangs.
Real-time data integration is not possible.
Data ingestion from a wide range of data sources may be tough to accomplish.

Who is Oracle Data Integrator best suited for?

ODI is ideal for enterprises with high-volume and high-complexity data integration requirements, particularly those involving several data sources and target systems. Also useful for businesses trying to integrate data amongst Oracle products.

39. Ab Initio

Ab Initio is a proprietary software platform used to create and manage data integration initiatives. It includes a full range of tools for designing, creating, testing, and deploying data integration solutions. Ab Initio is well-known for its high-performance parallel processing and ability to handle massive amounts of data.

Top Features

Graphical Development
Batch & Real-Time Processing
Elastic Scaling
Web Services & Microservices
Data Formats & Connectors
Metadata-Driven Applications

Pricing

This product or service's pricing has not been supplied by Ab Initio.

Pros

Scalability and performance
A large number of connectors and a comprehensive set of built-in functionality
Components and libraries that can be reused
Batch and real-time processing are also supported.

Cons

Specific issue solutions and resolutions are difficult to come by.
Skilled resources are in short supply.
A few components must be configured with the MAX CORE value, which necessitates computations.
A locked and proprietary platform with limited modification.

Who is Ab Initio best suited for?

Ab Initio is ideal for enterprises with high-volume and high-complexity data integration requirements, particularly those involving massive amounts of data and requiring high-performance data processing. Also suitable for businesses looking for a complete platform for planning, developing, and deploying data integration solutions.

40. IBM -- Infosphere Information Server

Infosphere Information Server is an IBM product that was released in 2008. It is a market leader in data integration platforms that assist businesses in understanding and delivering important values. It is primarily intended for Big Data firms and large-scale corporations.

Top Features

It is a tool that has been commercially licensed.
The Infosphere Information Server is a comprehensive data integration platform.
It is compatible with Oracle, IBM DB2, and the Hadoop System.
It works with SAP through numerous plug-ins.
It contributes to the enhancement of data governance strategy.
It also aids in the automation of company procedures for cost-cutting purposes.
Data integration across different systems in real-time for all data types.
It is simple to combine with an existing IBM-licensed tool.

Pricing

The Small On IBM Cloud Managed package costs $19,000 per month.
The medium IBM Cloud Managed plan costs $35400 per month.
The Large plan on IBM Cloud Managed starts at $39,400 per month.
For Enterprise Edition, please contact the sales team.

Pros

It's pretty impressive when it comes to data encryption.
Excellent workflow management effectiveness.
Excellent at data configuration, tuning, and repair.

Cons

Inadequate web development environment.
The distribution of metadata in Jobs is fairly complicated.
The ability to create jobs in Parallel and/or Server Engines is perplexing.

Who is IBM -- Infosphere Information Server best suited for?

It is best suited for an organization that wants assistance in extracting more value from the complex, heterogeneous information scattered across its systems.

41. Logstash

This ETL tool is a real-time data pipeline that can take data, logs, and events from sources other than Elasticsearch, process them, and then store everything in an Elasticsearch data warehouse.

Top Features

Transformation of data.
Filtering of data.
Data analysis.
Managed File Transfers Adhoc file transfer solution utilizing FTP, HTTP, and other protocols.
Data Extraction Aids in the extraction of data from various databases and files.
Integration of APIs
It makes it simple to integrate logic or data with other software applications.

Pricing

Logstash is offered as a free download and as a subscription with other Elastic Stack products starting at $16 per month.

Pros

Logstash is open-source and was created using open-source tools.
Logstash is incredibly easy to set up and allows us to retain configuration files in plaintext format.
The plugin ecosystem supports modular extensions.

Cons

If you are deploying Logstash on commodity hardware, it is a HOG.
Because it is a Java product, JVM optimization is required to handle high-load.
The documentation may have been improved.

Who is Logstash best suited for?

It is best suited for organizations that want to employ log gathering traditionally, but its capabilities extend to complex data processing, enrichment, analysis, administration, and much more. The sophisticated features of Logstash make it an excellent alternative for designers who wish to transport data into Elasticsearch for analytics.

42. Singer

The singer is a free and open-source data integration solution for the ELK Stack (Elasticsearch, Logstash, and Kibana). It is used to extract data from diverse sources, convert it to a common format, and put it into a data sink, most commonly Elasticsearch. The tool is intended to be basic, dependable, and straightforward to use. It includes a library of pre-built connections known as "taps" and pre-built data processing functions known as "targets."

Top Features

A simple command-line interface
A variety of data sources are supported.
Support for typical data transformations is built in.
Assistance with incremental data extraction and replication
Scheduling and automation assistance
An active open-source community dedicated to the creation and upkeep of connectors, transforms, and examples.

Pricing

Because it is open-source, it is free to use.

Pros

It is open-source and free to use.
Can be used in conjunction with the ELK Stack, which is likewise open-source and free to use.
Simple and straightforward to use.
A large variety of connectors are available.
Assistance with incremental data extraction and replication.

Cons

Limited to specific use cases and data destinations, for example, ELK stack Learning curve to use it efficiently, particularly for connectors and transformer script development Limited support in comparison to commercial alternatives
No cloud offering

Who is Singer best suited for?

It is best suited for enterprises that use the ELK stack and require data extraction from several sources and loading into Elasticsearch. It is especially valuable for firms that need to extract data incrementally and automate the data integration process.

43. DBConvert Studio

DBConvert Studio is DBConvert's data migration and synchronization program. It can convert and synchronize data between relational databases such as MySQL, MariaDB, MS SQL Server, PostgreSQL, SQLite, and Oracle. The software offers a user-friendly graphical user interface, database triggers and stored procedures support, and conversion and synchronization schedule.

Top Features

Accelerate your database migrations.
Transfer your data without errors.
Automatically convert views/queries
Use any of our three Sync Types to sync your data.
Trigger-based Sync allows you to quickly sync your databases.
Use sessions, command line mode, and the built-in scheduler to automate your job.
When connecting to a database, change the character set. We offer complete Unicode support.

Pricing

DBConvert Studio provides a free trial and pricing for a single-user license begins at $599.

Pros

A flexible built-in scheduler allows you to launch jobs at a given time.
During migration, database objects might be renamed.
Aids in the acceleration of database migrations.
Transfer your vital data without error.
Multibyte character support

Cons

It is not appropriate for real-time or on-demand data access applications.
Some advanced capabilities may necessitate further configuration and setup.

Who is DBConvert Studio best suited for?

DBConvert Studio is ideal for enterprises that require data migration and synchronization between databases and require a complete solution that supports many database types. It's also an excellent fit for firms that need data validation and filtering during migration and wish to schedule and automate data migration activities.

DBConvert Studio can also manage data migration between cloud-based and on-premises databases, as well as between different versions of the same database.

44. Workato

Workato is a cloud-based automation platform that allows you to integrate and automate numerous applications and services to optimize and improve company processes. It includes a plethora of pre-built connectors for popular apps like Salesforce, Google, Slack, and many others. With a visual, low-code platform, anyone can easily automate complicated business operations without programming knowledge.

Top Features

AI/Machine Learning
Access Controls/Permissions
Integrations Management
Event Tracking and Monitoring
Multiple Data Sources
No-Code

Pricing

Workato provides a free trial and to obtain a quote, please contact the sales staff.

Pros

Even non-technical individuals will find it simple to use.
A diverse set of pre-built connections for well-known apps and services
A variety of pre-built templates and recipes for automating common business procedures are available.
Workflow configuration is simple and easily accessible Technical Assistance
It is a low/no coding solution that reduces troubleshooting costs.

Cons

Less native connectors for the most recent common apps
If a prebuilt recipe is not available, it is difficult for non-technical users to build
Timeouts if you try to push a big amount of data through
Cannot cache large datasets

Who is Workato best suited for?

It is ideal for companies looking for a user-friendly, visual, and low-code platform to automate complex business processes and integrate various apps and services. It is especially beneficial for small to medium-sized enterprises that lack the resources to establish custom integrations and need to automate their business processes and workflows to boost business efficiency.

45. Keboola

Keboola is a data management and data integration platform that enables companies to connect, cleanse, transform, and analyze data from a variety of sources. It is a cloud-based system that allows users to extract, manipulate, and load data through an easy-to-use interface. It also includes a variety of pre-built interfaces for common data sources including Salesforce, Google Analytics, and MySQL. It is useful for automating data pipelines and developing custom integrations.

Top Features

Diverse Extraction Points
Data Structuring
Consolidation
Data Cleaning
Cloud Extraction
Visualization

Pricing

Keboola offers a free plan and a support staff for enterprise plans.

Pros

Hundreds of pre-built integrations.
Connect all of your data to one location.
There is no need for a data warehouse.
Transform data in SQL, Python, or R.
Data pipeline automation with no code.
Create and deploy new integrations with ease.
Version control, user management, and data lineage.

Cons

Limited sophisticated customizing options.
Some integration features may be restricted.
Keboola does not provide data streaming or continuous data extraction.

Who is Keboola best suited for?

Teams of technical data specialists (scientists, engineers, analysts) and data-driven business experts that want to use data to drive business opportunities.

46. Flowgear

Flowgear is a cloud-based integration platform for enterprises that allows them to connect and automate various apps and services. By providing pre-built connectors and a visual workflow designer, it enables users to develop unique integrations and automate workflows between disparate systems. Users can utilize this to automate and streamline corporate processes, resulting in improved data flow and efficiency.

Top Features

Real-Time Integration
Pre-Built and Reusable connectors
Routing And Orchestration
Data Encryption
Communication Protocol
Data Mapping

Pricing

Flowgear provides a free trial and price range from free to $999/month for premium programs.

Pros

Flowgear's advantages include a large number of pre-built connectors for major apps and services.
Integration is made simple with Flowgear, both on-premises and in the cloud.
Real-time data integration and event-driven automation are supported.
Cutting-edge security aspects

Cons

The pricing models are not appropriate for small businesses.
There is no online community to answer questions.

Who is Flowgear best suited for?

It is ideal for companies searching for a comprehensive integration platform to automate business operations, and connect and automate various apps and services. It is especially effective for enterprises that require real-time data integration, event-driven automation, extensive data mapping, and complex data transformations. Furthermore, the robust security features make it an excellent choice for enterprises with sensitive data and strict security requirements.

47. StarfishETL

StarfishETL is an ETL and data integration solution that allows enterprises to connect, extract, transform, and load data from a variety of sources. It has an easy-to-use drag-and-drop interface for creating and managing data integration jobs. It supports data extraction from unstructured data sources such as CSV and Excel files, as well as a large range of pre-built connectors for major data sources such as MySQL, SQL Server, and Oracle.

Top Features

Data Archiving.
Data Cleaning & Enhancement.
Data Lake & Warehouse Prep.
Full-Service Integration.
Notification Management.

Pricing

The pricing for the Starfish software is based on cloud and online migration services. Cloud migration begins at $495 per month, whereas migration price begins at $1495 per month. CRM integration comes with its own set of price options. These vary according to the size of the business and can reach $1000 per month.

Pros

StarfishETL's advantages include a user-friendly, drag-and-drop interface for designing and managing data integration activities.
Data extraction from unstructured data sources is supported.
Capabilities for scheduling and monitoring
Error management and notifications are built in.
Workflow management tools for collaborating and sharing integration projects
A flexible and robust system that integrates easily with any database.
A specialized staff of support professionals to help users with their problems.

Cons

Limited sophisticated customizing options.
Some integration features may be restricted.
The system is inefficient for large-scale data movement.

Who is StarfishETL best suited for?

Starfish ETL is intended for enterprises that require the integration of data from numerous systems and sources and the availability of that data for reporting, analytics, and other business-critical applications. Furthermore, its workflow management function enables teams to communicate and share integration projects, making it an excellent choice for enterprises with large teams.

48. Rudderstack

RudderStack is the top open-source Customer Data Platform (CDP), offering data pipelines that make it simple to take data from any application, website, or SaaS platform and activate it in your warehouse and business tools.

Top Features

Support for data warehouses and data lakes.
CRMs, payment systems, and marketing tools are among the 24+ cloud sources.
Loads can be configured using table prefixes.
Select which data points to add to the schema.
Configurable sync timings allow you to manage pipeline schedules.
Destination transformations are optional.

Pricing

The starter plan begins at $500.00 per month. Contact the sales staff for more information on various programs.

Pros

Great Event streams
Excellent Reverse ETL
Identity resolution

Cons

The alerting system could be improved.
The destination catalog can be expanded.

Who is Rudderstack ETL best suited for?

It is ideal for businesses that seek to break down data silos. To eliminate data silos, move data from the tools of the product, sales, marketing, and support teams into their warehouse. Who wish to create a complete consumer profile and gain more useful information.

49. CData Sync

CData is a data integration tool that allows users to duplicate data from multiple data sources (such as databases, cloud services, and SaaS applications) to a specified destination (such as another database, a data lake, or a data warehouse).

Top Features

Scheduling Jobs.
Notifications.
Advanced Job Options.
Incremental Updates
Log-based Replication
Firewall Traversal

Pricing

Pricing for CData Sync is depending on the number of connectors and data replications required. Pricing is tailored to the specific use case starting from $3,999.005 Per Connection Per Year. You can contact them for more information on their free trials.

Pros

CData Sync offers a diverse set of data sources and connections, making it simple to combine data from disparate systems.
It is simple to configure the synchronization process between several connections.
Users can utilize CData Sync to ETL data from cloud data sources to local destinations for in-house reporting and analytics.

Cons

The platform's security is not very high.
There are no drag-and-drop transformation options.
Users must be technically savvy and understand how to install a driver on their machine to link the two databases or use it beneath a SQL client.

Who is CData Sync best suited for?

It is especially valuable for enterprises that need to maintain data up to date across various systems, such as replicating data between a production and test environment or syncing data between an on-premises and a cloud-based system.

CDATA SYNC is also beneficial for businesses that need to replicate and synchronize data between platforms, such as replicating data between a SQL Server and a MySQL database.

50. Mule Runtime Engine

Mule runtime engine (Mule) is a lightweight integration engine that supports domains and rules and runs Mule applications. An XML DSL is shared by Mule apps, domains, and policies (domain-specific language).

Top Features

Flexible deployment modalities
Open architecture
Extensible
Compose in real-time or batch
Map and transform any data

Pricing

There is no pricing information available. For the price, please contact the sales team.

Pros

A single runtime that may be deployed in the cloud or on-premises
SOA, ESB patterns, SaaS connectivity, API management, and microservices are all supported.
Open architecture promotes common standards as well as innovative technology.

Cons

Mulesoft's documentation does not appear to be thorough or sufficient.
Mule's database connector is not very user-friendly.
Make a plan for your journey; otherwise, you may overlook important components.

Who is Mule Runtime Engine best suited for?

It is ideal for businesses that wish to link applications, data, and devices by enabling system integrations and a hybrid deployment approach for optimum flexibility.

51. Striim

Striim is a real-time data integration and analytics platform that allows users to collect, process, and analyze data in real-time from diverse sources. It offers a diverse set of data connectors and integration features, allowing users to connect to a variety of data sources, including databases, log files, cloud services, and IoT devices, and stream data in real-time.

Top Features

Capabilities for real-time data integration and analytics
Databases, log files, cloud services, and IoT devices are among the data sources and platforms supported.
Striim Analytics platforms and In-Memory Data grid
SQL-based stream processing and real-time analytics are supported.
Integrate with big data systems such as Apache Kafka, Google Cloud Platform, Microsoft Azure, and Amazon Web Services.

Pricing

Pricing for Striim is determined by the amount of data processed and the number of data sources connected starting from $2500 per month. Pricing is tailored to the specific use case. You can contact them for more information about their free trial.

Pros

Striim offers real-time data integration and analytics, allowing for near-instant insights.
Pattern and anomaly detection
Metrics creation and monitoring

Cons

The platform's online interface and real-time dashboard could be improved.
A little pricey for a license
Community power should be developed.

Who is Striim best suited for?

Striim is best suited for companies that require real-time data integration and analytics. It's especially handy for businesses that need low-latency processing and high-throughput data streaming.

52. Talend Data Fabric

Talend Data Fabric is a data integration and management platform that offers a variety of tools for data collection, integration, management, and delivery. It enables users to access, administer, and share data through the use of a standardized set of data management and integration services. It is compatible with a wide range of data sources and platforms, including databases, big data platforms, and cloud services.

Top Features

Obtain data in any format from all of your sources.
Run in any environment, whether cloud, on-premises, or hybrid.
Carry out any integration style: ETL, ELT, batch processing, or real-time processing
With machine learning-augmented tools and advice, you can simply standardize and purify data.
Once written, it may be deployed everywhere.

Pricing

Talend Data Fabric is a commercial offering with pricing based on the number of runtime engines, connectors, and developer seats. You can contact them for more information about their free trial.

Pros

Provide self-service data access via a unified cloud platform.
Get data governance and privacy without sacrificing the consumer experience.
Learn how to implement a data governance structure in your firm.

Cons

Handling complex fluxes might become extremely difficult.
It is not easy to use Git for source control and integration.
Every step must be accurate or else the entire program would produce errors.

Who is Talend Data Fabric best suited for?

It is best suited for businesses that require built-in components for ETL mapping and data transformations, such as string manipulations and automatic lookup handling, as well as the option to use ELT instead of ETL.

53. StreamSets

StreamSets is a data integration and management platform that lets users collect, process, and send data from a variety of sources to a variety of destinations. It offers a diverse set of data connectors and integration features, allowing users to connect to a variety of data sources, including databases, log files, cloud services, and IoT devices, and stream data in real-time.

Top Features

A dynamic data map
Intelligent pipelines
Cloud-based
Performance management

Pricing

Professional plans begin at $1000 per month. Contact the sales staff for the Enterprise plan.

Pros

Pipelines are created in minutes.
Create batch and streaming data with the least amount of coding and the most flexibility.
Monitor and improve data quality and performance.

Cons

Logging is a difficult task.
The utility necessitates some familiarity with the JVM.

Who are StreamSets best suited for?

It is best suited to businesses that require minimal coding and maximum extensibility for design coding and data streaming. The Data Performance Manager (DPM) serves as a single point of contact for all data mobility, offering a comprehensive data map of the row and data.

54. Confluent Platform

Confluent Platform is a real-time data streaming platform that enables users to collect, process, and analyze data in real-time from diverse sources. The platform is built on Apache Kafka and offers a variety of capabilities for connecting to various data sources, processing and analyzing data in real-time, and interacting with other systems and applications.

Top Features

Encryption of data
Authorization and authentication
Service quality
Kafka connection
Downloadable for free

Pricing

The basic plan is completely free to use. The standard plan starts at $1.50 per hour, while the dedicated plan is based on capacity.

Pros

Multi-tenant operations that are secure
Connect, improve, and protect your data streaming.
Development has been simplified.
The product's design is incredibly well crafted, and it is highly configurable.

Cons

A gap in security
Fewer VPN alternatives
Less integration with various systems.

Who is Confluent Platform best suited for?

It was designed primarily to assist your organization in dealing with large-scale data ingestion and processing requirements for your business networking service. It's ideal for converting your organization's data into low-latency, publicly available streams.

55. Alooma

Alooma is a data integration platform in the cloud that allows users to collect, process, and transport data from diverse sources to numerous destinations. It offers a diverse set of data connectors and integration features, allowing users to connect to a variety of data sources. It also has mapping, data modeling, and data processing features to assist users with complicated data integration tasks.

Top Features

Connect all of your data sources to Amazon's petabyte data warehouse.
You can import data from any source.
Obtain real-time insights
The user interface is excellent.
When a new field arrives in your data, you will be notified.
AWS Redshift, Google BigQuery, Microsoft Azure, and Snowflake are all supported.

Pricing

The price structure of Alooma is tiered based on usage and the sensitivity of the data being collected. The most basic bundle is $20 and can be upgraded as the level of sophistication and data usage increases.

Pros

Alooma's real-time data integration capabilities enable near-instant insights.
It handles all of the complexities.
Supports a wide range of popular data sources.
Real-time monitoring of any issues in the database.

Cons

For first-time users, the GUI is a little complicated.
The debugging module is less user-friendly than other applications on the market.

Who is Alooma best suited for?

It is ideal for businesses who wish to bring all data sources from various data silos into their data warehouse in real-time.

56. Adverity Datatap

Adverity Datatap is a data integration platform that enables users to collect, process, and analyze data in real-time from a variety of sources.

It offers a wide range of data connectors and integration features, allowing users to connect to a variety of data sources, including databases, log files, cloud services, marketing, e-commerce, and other platforms, and stream data in real time.

It is mostly used for marketing and e-commerce, but it can also interface with other systems.

Top Features

Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Integration of standardized databases and spreadsheets
Engine for powerful transformation and calculation
Data quality monitoring system

Pricing

They provide a fully customized quote that is specifically matched to the demands and requirements of each client.

Pros

A tidy integrated data stack
improved data quality
Complete control over your data

Cons

Because Adverity Datatap is a commercial product, it may not be appropriate for enterprises with restricted budgets or those seeking a free, open-source solution.
Setting up data connections can be difficult for inexperienced users.
The data connectors can be troublesome at times, necessitating troubleshooting.

Who is Adverity Datatap best suited for?

It is ideal for businesses that want to connect and manage all of their data sources on a single platform, whether in the cloud or on-premise. It enables customers to investigate new linkages and gain fresh insights into their marketing success.

57. Syncsort

Syncsort is a data integration and management software that offers a variety of capabilities for data collection, integration, management, and delivery. It enables users to access, administer, and share data through the use of a standardized set of data management and integration services.

Syncsort is designed for mainframe and big data environments, and it allows users to process and integrate massive volumes of structured and unstructured data. It can also be integrated with other data processing tools like Apache Hadoop and Apache Spark.

Top Features

Improving performance and efficiency - to reduce expenses across the whole IT infrastructure, from mainframe to cloud
Assuring data availability, security, and privacy to meet the global demand for 24x7 data access

Pricing

This product or service's pricing has not been supplied by Syncsort.

Pros

Data manipulation and cleaning are simplified because of advanced data transformation and data mapping capabilities.
It allows users to process and integrate massive volumes of structured and unstructured data and is optimized for mainframe and big data systems.
It is more adaptable because it supports both cloud and on-premises scenarios.

Cons

Constrained metadata management capability.
Not yet suited for big data environments.
Support focus on bulk-batch and physical data movement.
Reliance on tools from outside the firm product family.
Poorly prepared new releases.

Who is Syncsort best suited for?

It is best suited for businesses looking to harness the power of Big Data. To assist such organizations, Syncsort provides fast, secure, enterprise-grade tools.

58. Adeptia ETL Suite

Adeptia ETL Suite is a data integration and management platform that lets users collect, process, and distribute data from a variety of sources to a variety of destinations.

It offers a diverse set of data connectors and integration features, allowing users to connect to a variety of data sources, including databases, log files, cloud services, and IoT devices, and stream data in real-time.

It also includes data validation, data quality, data mapping, and data transformation capabilities to assist users in completing complicated data integration tasks.

Top Features

Partner Management: a built-in web portal that allows users to easily and quickly configure partner roles
Standards Data Dictionaries and pre-built message schemas
Schemas: Flat files, positional files with fixed lengths, and ANSI X12 EDI
Process Designer is a web-based design tool that assists IT staff in collaborating with business analysts.

Pricing

The license fee begins at $2,000 per user each month.

Pros

It enables you to centrally manage all Connections, Formats, and Protocols from a single solution.
Adeptia's technology makes it simple, straightforward, and painless to set up partner roles and build and automate data flows and integration touchpoints.
It facilitates collaboration, ease of use, and pre-built data row templates for rapid configuration and deployment.

Cons

Does not support the use of dynamic metadata.
The data mapping solution does not provide a way to check data flow between activities.

Who is Adeptia ETL Suite best suited for?

It is best suited for enterprises that require robust data conversion capabilities. This contributes by offering graphical, wizard-driven, user-friendly software that facilitates any-to-any conversion.

59. Apatar ETL

Apatar ETL is a free and open-source data integration and management platform that enables users to collect, process, and transport data from a variety of sources to a variety of destinations. It also includes data validation, data quality, data mapping, and data transformation capabilities to assist users in completing complicated data integration tasks.

Top Features

Integration in both directions
Platform-agnostic, running on Windows, Linux, and Mac; 100% Java-based
Java source code is available for easy customization.
There is no coding! Non-developers can design and execute transformations using a visual job designer and mapping.

Pricing

Apatar ETL is free to use and open-source. The software has no cost associated with it. You may, however, be required to pay for commercial support, training, and/or customization, which are provided by various organizations.

Pros

Because Apatar ETL is open-source, it is free to use and may be customized to meet individual requirements.
Access to Oracle, MS SQL, MySQL, Sybase, DB2, MS Access, PostgreSQL, XML, and other databases
All of your integration projects will be managed through a single interface.
Options for flexible deployment

Cons

Apatar ETL is no longer being maintained, and support may be limited, making it difficult for new users to get started or troubleshoot issues.
It may not have as much support, resources, or tools as commercial options.

Who is Apatar ETL best suited for?

Apatar ETL is ideal for enterprises searching for an open-source data integration and management solution that can connect to multiple data sources and platforms. It's especially valuable for businesses that need to combine data from different systems and sources and make it available for reporting, analytics, and other mission-critical applications.

60. SnapLogic Enterprise

SnapLogic Enterprise Integration Cloud is a data integration and management platform that enables customers to collect, process, and transport data from a variety of sources to a variety of destinations. It is a cloud-based platform that offers a variety of data connectors and integration features, allowing users to connect to a variety of data sources, including databases, log files, cloud services, and IoT devices, and stream data in real time.

Top Features

Include any source (Web, SaaS, on-premise)
Infinitely expandable API for Snap Components
Capability to create Snaps and resell them on the SnapStore
Deploy either on-premises or in the cloud.
Design that is browser-based GUI
Enterprise ETL feature that can be dragged and dropped Scheduler
There is a wide range of user help available.
Integration of social media platforms

Pricing

The SnapLogic Server is available on a yearly subscription basis. The most basic plan costs $9995. It offers a free trial period.

Pros

Allows you to easily track feeds into your system.
Speed of development and deployment
Continuous connectivity
Self-service data integration enables business users to establish and manage integration flows without requiring IT intervention.

Cons

Although it has its version system, it does not support de facto git repositories.
Although it supports XML, it does not support XML mixed content.

Who is SnapLogic Enterprise best suited for?

It is ideally suited for organizations that need to connect with prominent SaaS systems such as Salesforce, NetSuite, and SugarCRM, thanks to SnapStore's infinite connectors.

61. OpenText Integration Center

OpenText Integration Center assists organizations in integrating traditional data management and Enterprise Content Management (ECM) methodologies into a single, complete information management strategy, helping them to realize the true value of their people, processes, and information.

Top Features

Access to virtually any corporate system is provided.
Simple to complicated business logic is used.
Supports the most diverse set of transformation complexity levels.
Track Changes, Impact Analysis, and Auto Documentation are all included. Processes are started based on predetermined schedules or events.
Process monitoring, full history, and audit-trail reporting are all available.

Pricing

Pricing information is not publicly available.

Pros

It is a comprehensive platform that offers a variety of data integration possibilities.
It is compatible with a wide variety of data sources and platforms, making it simple to connect to numerous systems and devices.
The platform has connections for a variety of data sources and destinations.
Strong security and data governance skills to assure data security and compliance.

Cons

It may not be appropriate for enterprises on a tight budget or those seeking a free, open-source solution.
When compared to other data integration platforms, the platform may be more difficult to set up and operate.

Who is OpenText Integration Center best suited for?

It is best suited for businesses that require the capacity to swiftly adapt to new and changing business processes, as well as powerful and flexibly transform information from where it is to where it needs to be.

62. Redpoint Data Management

Redpoint Data Management is a Redpoint Global data integration and data management platform that offers a comprehensive solution for enterprises wishing to consolidate and purify consumer data across numerous systems, platforms, and channels.

Top Features

Integrated marketing platform with Red points
Redpoint interaction Real-time red point interaction
Hadoop red point management
Machine learning capabilities
Real-time data stream processing

Pricing

Pricing for this product or service has not been disclosed by Redpoint Data Management.

Pros

Make use of any data from any source.
Quickly achieve great data quality
One data quality and integration application

Cons

Redpoint DM is very customizable, but it comes at a premium cost.
To configure these customizations that enable powerful business operations, an org user must have a high level of understanding.

Who is Redpoint Data Management best suited for?

Redpoint Data Management is ideal for companies that want a more full and accurate picture of their customer data. It's especially valuable for businesses that have consumer data dispersed across many systems, platforms, and channels and require a solution to combine and cleanse it.

63. Sagent Data Flow

Sagent Data Flow is a data integration solution that uses a visual, drag-and-drop interface to design, execute, and monitor data integration processes. The platform enables enterprises to extract, manipulate, and load data from a variety of sources and destinations.

Top Features

Access, transform, and analyze data more quickly.
Design an Environment that is Both Flexible and Simple to Use
Support for reusable sub-components
Multi-Threaded 64-bit Server Environment
Web Services Support

Pricing

The individual needs of an organization and the provider can influence Sagent Dataflow. It is preferable to contact Sagent Dataflow or one of its authorized resellers for more price information and a thorough quote based on your individual needs.

Pros

It offers a wide range of data integration features, allowing customers to complete the majority of data integration activities with a single tool.
The platform has outstanding data lineage capabilities, allowing you to trace data for a deeper understanding of it.
It makes it simple to manage and automate integration initiatives.

Cons

Sagent Data Flow is a proprietary tool that must be licensed to be used.
The performance of Sagent Dataflow may vary depending on the exact use case as well as the amount and complexity of the data sets.
Sagent Dataflow may not work in tandem with other systems or solutions that a business already employs.

Who is Sagent Data Flow best suited for?

It is best suited for businesses that want to analyze data and generate useful reports to aid in business understanding.

64. Apache Kafka

Apache Kafka is an open-source message broker project that aims to create a unified, high-throughput, low-latency platform for interacting with real-time data sources. Kafka is a commit log service that is distributed, partitioned, and replicated. It has the functionality of a messaging system but a distinct design.

Top Features

Publish and subscribe to record streams, much like a message queue or business messaging system.
Store record streams in a fault-tolerant and long-lasting manner.
Process record streams as they come in.
Kafka has a high throughput and can handle millions of events per second.
By adding more brokers to a cluster, Kafka can be readily scaled.
To prevent data loss, Kafka messages are persisted on disk and replicated within the cluster.

Pricing

Apache Kafka is free to use because it is open-source. If you use Kafka in a production environment, however, you may need to pay for support and maintenance if you want expert assistance.

Pros

High throughput and low latency are key features of Kafka.
It can manage a vast volume of data and provide service to a large number of customers.
Data is duplicated throughout the cluster, providing fault-tolerance.
Kafka can be utilized for a wide range of applications, including real-time data pipelines, streaming analytics, and others.

Cons

To set up and maintain properly, Kafka demands a thorough understanding of distributed systems.
Kafka can be resource-intensive, necessitating a substantial amount of memory and disk space.

Who is Apache Kafka best suited for?

Apache Kafka is well-suited for corporate use cases involving the management and processing of real-time data streams, such as those seen in IoT, financial services, and online gaming. It can manage massive amounts of data and provide support to a big number of users, and it is also used for log aggregations, online and offline analysis, and real-time data integration.

65. Apache Oozie

Apache Oozie is a free and open-source workflow scheduling system for big data systems like Hadoop. It is intended to aid enterprises in the management and scheduling of large data workloads such as data pipelines, batch processes, and complex multi-step workflows.

Top Features

Scalable
Workflow scheduling
Support for multiple types of Hadoop jobs
Excellent Monitoring
Good Error handling
Coordination
Reliable
Extensible

Pricing

Apache Oozie is open-source and free to use, so no subscription or license costs are involved.

Pros

Apache Oozie is open-source and completely free to use.
Oozie makes it simple to organize and schedule big data workflows.
It supports a variety of Hadoop jobs.
Oozie includes error handling and monitoring functionality.

Cons

Oozie requires Hadoop understanding as well as certain technical abilities to set up and run.
The online interface for monitoring and managing workflows provided by Oozie may not be as polished or user-friendly as that provided by competing for proprietary workflow scheduling solutions.

Who is Apache Oozie best suited for?

Apache Oozie is best suited for corporations and organizations that work with big data systems like Apache Hadoop and require a tool for controlling and scheduling big data workload execution. It's especially useful for businesses that need to manage and arrange complex multi-step workflows and relationships between jobs and tasks.

66. Apache Falcon

Apache Falcon is a data management and orchestration platform for big data systems like Apache Hadoop, Apache Pig, and Apache Hive. It is intended to assist enterprises in easily and efficiently managing and scheduling their data pipelines, monitoring their data pipelines, and tracking the history of their data.

Top Features

Falcon gives an end-to-end picture of data lineage that may be used to understand data origin and flow as well as identify data quality issues.
Easy to use
Multi-faceted
Streamline processes

Pricing

Apache Falcon is open-source and free to use, so no subscription or license costs are involved.

Pros

Apache Falcon is free and open-source software that allows you to easily manage and schedule data pipelines.
Falcon's lineage feature enables excellent understanding and tracking of the data pipeline.
Falcon gives a governance framework that aids in compliance.

Cons

While Falcon is intended for use with big data systems such as Apache Hadoop, its integration with other big data ecosystem components may be less robust than that of other proprietary data management and orchestration solutions.
Falcon takes some technical knowledge to install and run, as well as experience with big data platforms such as Hadoop.

Who is Apache Falcon best suited for?

Apache Falcon is ideal for corporations and organizations that use large data systems such as Apache Hadoop and require a solution for managing and scheduling data pipelines, monitoring and tracking lineage, and managing data governance.

67. GETL

GETL is an open-source data integration tool that allows you to extract data from numerous sources, transform it to the required format, and then load it into your destination. It includes a versatile ETL pipeline as well as a simple API that allows developers to conduct complex data integration tasks without writing sophisticated code.

Top Features

Work with CSV, JSON, XML, and Excel files are supported.
Work with JDBC sources is supported (tables, SQL queries, DDL, sequence)
Copying the data flow across sources is supported.

Pricing

Because GETL is open-source and free to use, there are no subscription or license fees.

Pros

IT is free and open-source software.
It provides a configurable ETL pipeline that enables developers to conduct complex data integration tasks without writing complex code.
Work with log files is supported.
Process execution is sped up by the collection of statistics.
File management on file systems and FTP

Cons

Because it is open-source, it may be missing some features or capabilities found in proprietary ETL programs.
Some of GETL's functions are restricted to specific database and data source types.

Who is GETL best suited for?

GETL is best suited for enterprises and developers with technical backgrounds that want a versatile and open-source solution for planning, launching, and managing data integration projects. It's great for businesses that need to construct and maintain data pipelines and require a tool capable of handling sophisticated data integration jobs. GETL is especially appropriate for enterprises with limited finances who require ETL services but prefer to employ an open-source solution.

68. Anatella

Anatella is a commercial data transformation and analysis tool. It is a graphical ETL (Extract, Convert, Load) application that allows users to create data pipelines, clean and transform data, and do advanced analyses. Anatella was designed with a unique collection of features that enable users to significantly minimize the time required to construct new data transformations.

Top Features

Synchronization of Data
Management of Master Data
Data integrity (in CRM, in a data warehouse, etc.)
Cleaning of data
Federation of Data (ETL for Business Intelligence and Data Warehousing)
Easily extensible
Extremely versatile
Precise Data integration
Data Consolidation

Pricing

There is a free trial package available. For additional information, please contact the support team.

Pros

The graphical interface simplifies the design and execution of data transformations for non-technical users.
Anatella has been created for high-performance data processing.
The ability to develop custom scripts enables advanced data manipulation and analysis.

Cons

Limited big data support: Some larger data processing operations may necessitate the use of extra tools and infrastructure.
Anatella is a commercial tool, and the product's pricing may not be affordable for everyone.

Who is Anatella best suited for?

Anatella is ideally suited for data-intensive business use cases such as data integration, data warehousing, data quality, data mining, data modeling, and more. It supports a wide range of data formats and allows users to perform extensive analytics using custom scripts.

69. EplSite ETL

EplSite ETL (Extract, Transform, Load) is a data integration and transformation technology available for purchase. Eplitec created EplSite Suite, which includes it. It's a sophisticated tool that enables users to create and execute data pipelines that move, transform, and combine data from diverse sources to destination systems.

Top Features

Simple to use.
Consumption of resources is minimal.
Only the tools are required to complete the task.
The web interface.
Cron jobs can be used to execute modifications.

Pricing

There is a free trial package available. For additional information, please contact the support team.

Pros

It is built to handle massive data sets and a large number of users.
It is capable of handling high-volume, real-time data integration, and transformation.
Users can construct and execute data pipelines using a drag-and-drop interface in EplSite ETL.

Cons

Data governance and security features are limited.
reliance on information technology resources and knowledge
Increased time to implement and deploy

Who is EplSite ETL best suited for?

EplSite ETL is well-suited for data handling and processing business use cases such as data integration, data warehousing, data quality, data mining, data modeling, and more. It supports a wide range of data formats and allows users to perform extensive analytics using custom scripts.

70. Scriptella ETL

Scriptella ETL (Extract, Transform, Load) is a data integration and transformation tool that is open source. It enables users to create and run data pipelines that move, transform, and combine data from several sources to destination systems.

Because Scriptella is written in Java, it can run on a variety of operating systems. Its key aim is simplicity, so users do not need to learn yet another complex XML-based language - simply use SQL (or any scripting language appropriate for the data source) to conduct essential changes.

Top Features

Scriptella employs an XML-based configuration file that allows users to build scripts in a variety of languages, including JavaScript, SQL, and Velocity.
Simple to use and Easy to run
In a single ETL file, work with many data sources.
Many key JDBC features, such as batching, prepared statements, and SQL parameters, including references to files (BLOBs), and JDBC escaping, are supported.
Performance
Help with evaluated expressions and properties (based on JEXL syntax)
Flexible error handling

Pricing

Scriptella ETL is free to use, and there is no cost to use it.

Pros

It is free to use, and the source code can be used and modified by anyone.
Scriptella is a lightweight and easy-to-use program.
Because Scriptella ETL is written in Java, it can run on a variety of operating systems.
Multiple data sources are supported.

Cons

Scriptella's documentation is not as detailed as that of some other ETL solutions, which may make it more difficult for novice users to get started.
Scriptella does not contain any built-in scheduling options for data integration and transformation operations.
Some larger data processing operations may necessitate the use of extra tools and infrastructure.

Who is Scriptella ETL best suited for?

It's ideal for small to medium-sized data integration and transformation projects, as well as enterprises that prefer open-source software.

71. Apache Crunch

Apache Crunch is a free and open-source Java data processing and analysis framework. It is based on Apache Hadoop and offers a high-level API for executing sophisticated data analytic tasks. Crunch accepts data sources in a variety of formats, including Avro, CSV, and SequenceFiles, and allows users to create data pipelines in a functional programming approach.

Top Features

Multi-faceted
Easy to use
Supports various WriteModes
High-level API
Integration with Apache Hadoop

Pricing

Apache Crunch is free to use because it is open-source.

Pros

The high-level API makes sophisticated data analysis jobs simple.
Crunch's flexibility allows users to create data pipelines in a functional programming manner.
Crunch is capable of handling enormous data sets and providing support to a large number of users.

Cons

Apache Crunch is primarily intended for usage with Hadoop-based data sources such as HDFS and Hbase, and it may be incapable of handling data from other sources such as NoSQL databases or cloud-based services.
Crunch requires a solid understanding of distributed systems to effectively set up and maintain.
Crunch's documentation is less detailed than that of some other ETL tools, which may make it more difficult for new users to get started.

Who is Apache Crunch best suited for?

Crunch is ideal for enterprises that require data processing and analysis and are currently utilizing Apache Hadoop.

72. Airbyte

Airbyte is a free and open-source data integration tool that syncs data from apps, APIs, and databases to data warehouses, lakes, and other locations.

Top Features

Use or modify over 300 standard connectors.
With our CDK, you can create bespoke connectors in just 30 minutes.
Configure replications to match your specific requirements.
Scalable pricing
Provides the best support.

Pricing

Provides three plans: free, cloud, and enterprise

Cloud, with prices starting at $2.50/credit.
For Enterprise plans, please contact Sales.

Pros

This is an excellent tool for scheduling batch and real-time jobs.
The simplicity of usage is amazing in both the cloud and open source.
You can avoid writing specialized ETL code for each data source.

Cons

There is no preload transformation available.
It is not feasible to make custom adjustments when mapping.
Load Scheduling is not an option.

Who is Airbyte best suited for?

It's especially valuable for businesses that need to duplicate and sync data between systems, such as from a production database to a data warehouse or from a SaaS application to a data lake. It's also useful for businesses that need to duplicate and synchronize data between platforms, such as duplicating data between a SQL Server and a MySQL database.

73. Meltano

Meltano enables data extraction and loading using a software development-inspired technique that provides flexibility and endless cooperation.

Top Features

Open Source
Isolated Dev Environments
Inline Hashing for PII
Pipeline Testing
Pipelines as Code
300+ Connectors

Pricing

It's open-source and completely free to use.

Pros

Meltano is a powerful and easy-to-use tool.
Its open-source nature makes it both adaptable and cost-effective.
The community identifies and fixes flaws, and assistance is freely available.

Cons

Meltano does not provide any low-code solutions.
Meltano does not currently provide a fully managed option; you must host the software yourself.
Airbyte, the other open-source data tool, is far less popular, with a smaller community and less support.

Who is Meltano best suited for?

It is suited for privacy-sensitive data applications that require anonymization and security. Organizations in the healthcare, government, and finance sectors can profit because they are frequently subject to compliance rules such as HIPAA or GDPR.

74. Visier

Visier provides quick, unambiguous people insight by utilizing all accessible people data---regardless of source. Decision-makers can act confidently because best-practice expertise is built in.

Top Features

Personnel Management
Talent Management
Regulation and Compliance
Metrics and Reporting
Third-Party Integrations

Pricing

Pricing information is not publicly available. To obtain a quote, please contact the sales staff.

Pros

Visier is a pretty well-designed product.
Visier's powerful visualization skills are visually appealing and informative
Allow for real-time strategic decision-making.

Cons

The printable report cannot be customized.
After exporting the data into the system, the processing time is fairly long.
It can be difficult to obtain quick assistance with inquiries and issues.

Who is Visier best suited for?

Visier is best suited for enterprises that need to make data-driven workforce and human resource decisions. It can be especially useful for businesses that have a big number of personnel data and need to extract insights from it, such as those looking to increase employee retention, optimize staff planning, or uncover cost-cutting options.

75. Funnel.io

Funnel.io's ETL marketing tool may deliver seamless integration between all of your marketing and advertising channels by utilizing data from nearly 405 distinct sources.

Top Features

Customizable Dashboards
Insightful reports
There are an infinite number of data sources.
A data model that is pre-built, relevant, and constantly updated.
No coding knowledge is required, just point-and-click reasoning.
Data can be sent to any tool in your ecosystem.

Pricing

Funnel.io services are available on a sliding scale of utilization. The company offers a variety of packages ranging from a regular $299 per month to Enterprise level solutions that are customized to the client's needs.

Pros

Aids in the management of advertising expenses.
Data can be readily exported into Excel reports for additional investigation.
The customer service crew is quite good at resolving many types of client inquiries.
Data collecting may be made quick, convenient, and easy by integrating with multiple ad platforms.

Cons

Users of the software advise that the data migration process be conducted more regularly.
API updates in other channels are not directly reflected in the software.

Who is Funnel best suited for?

It is best suited for businesses that wish to perform the three-step process of extracting, transforming, and loading data, but in a more simplified and agnostic manner than other solutions.

76. Daasity

According to the company's website, Daasity is the "only analytics platform created and optimized for omnichannel brands." It includes an ETL function that transports data to its data warehousing tool.

Top Features

True End-to-End Data Pipeline
Rapid and smooth installation
Customizable Data Model
One Managed Subscription

Pricing

Growth plans begin at 199$ per month.
Contact the sales staff for the Pro plan.

Pros

Reports that can be customized
Data models and data architecture are now more comprehensive.

Cons

If you wish to construct dashboards yourself, there is a steep learning curve.
Daasity users are only permitted to import some Amazon data into Daasity's data warehouse. Only Amazon Vendor Central, Seller Central, and Amazon Ads are available to brands.
Daasity owns the data because they have its data warehouses where it is stored.

Who is Daasity best suited for?

It is ideal for all-in-one eCommerce platforms and analytics platforms designed for consumer product brands and omnichannel brands.

77. Alteryx

Alteryx is a visual workflow tool that combines Extract, Transform, and Load (ETL) and spatial processing capabilities. It enables you to quickly access and convert different datasets, including spatial databases, to give geographic business intelligence to assist sales, marketing, and operational concerns.

Top Features

Discover strong insights with low-code, no-code analytics automation that is user-friendly.
Access any data source, no matter how large or little, whether in the cloud or on-premises.
With 300+ drag-and-drop automation building elements, you can create repeatable, interactive workflows.

Pricing

Alteryx pricing begins at $5195.0 per user per year. Alteryx offers only one plan: Alteryx Designer, which costs $5195.00 per user per year.

Pros

Data manipulation
Automation of output to Excel, Spotfire, Tableau, and a variety of additional formats
Working with Diverse Data
Processing speed on massive amounts of data
Simple reconciliation and automation

Cons

Structure of costs and prices
The visualizations are not as user-friendly as the rest of the product.
Connectors to Google are a little harder to find.

Who is Alteryx best suited for?

Alteryx is a platform that enables businesses to swiftly and efficiently solve business issues. The platform might serve as a key component in a digital transformation or automation strategy. Alteryx enables teams to create processes that are more efficient, repeatable, error-free, and risk-free.

78. Kleene.ai

Kleene.ai is the world's first fully-automated data engineering process, with expert services wrapping around you from onboarding through making data work.

Top Features

Data Transformation
Data Extraction
API Integration
Master Data Management
Data Integration
Data Analysis

Pricing

Provides a free trial, but no pricing information is given.

Pros

Analytics and data warehousing are extremely simple and accessible to anyone with basic SQL abilities
You just need one tool for your ETL pipeline
A wide range of connectors and are always developing new ones to meet the demands of clients

Cons

Additional documentation for some of the less-used connectors is required
Lack of customer assistance.

Who is Kleene.ai best suited for?

It is best suited for professional businesses to analyze data to drive the proper business decisions. who desire aid in molding data to acquire a comprehensive understanding of the business.

79. Data Virtuality

Data Virtuality gives data architects the flexibility to select the optimum data integration strategy for each use case and data workflow.

Top Features

Specializes in data ingestion, ELT, and data virtualization
GDPR Compliance, governance and security certifications are obtained from approximately
140 SaaS Sources.
Data Virtuality offers help by email and Intercom online chat.

Pricing

Data Virtuality offers a 14-day free trial but no pricing information.

Pros

Excellent caching capabilities, such as complicated scheduling and incremental caching.
Fantastic query federation with numerous optimizations.
Allows us to retrieve data in real-time from everywhere and present it as a single schema.
The ability to provide real-time data access via multiple web service APIs or database connections.
The ability to publish datasets for analysis to end users.
Data lineage views are fantastic.
The Data Virtuality crew is extremely responsive.

Cons

Some aspects of server setting are not straightforward and may necessitate the use of scripts rather than a GUI.
It lacks a good interface for developing structured workflows for jobs and materializations.

Who is Data Virtuality best suited for?

It is ideal for organizations that need to immediately access and model data from any database or API using analysis tools.

80. Precog

Precog is a completely new AI-powered ELT platform that offers users a No Code solution for quickly and automatically linking to any data source and building reasonable tables from the data for usage in any Data Warehouse, BI, or ML tools.

Top Features

A no-code solution that does not necessitate technical knowledge
There are both SaaS and on-premise solutions available.
Built-in support for 10,000+ data sources
Support for 100+ destinations

Pricing

Precog Express costs $200 per month per source or $2,000 per year. Pricing for agencies and OEMs is available upon request.

Pros

More data sources are out of the box than any other platform.
Pricing is straightforward and without surprises.
Without coding, an AI engine can interpret new data sources.
There are both SaaS and on-premise options available.

Cons

A relatively new platform with a small community.
For teams with technical competence, a no-code base can be constraining.
Connector-based pricing can be too expensive for teams with numerous sources.
Now that we've discussed the advantages and disadvantages of the two platforms, let's look at Portable as a Precog alternative and Precog as a Portable alternative.

Who is Precog best suited for?

It is ideal for enterprises that require complex data analytics and data science jobs including data visualization, machine learning, and natural language processing. Precog offers a suite of tools that enable users to connect to multiple data sources, extract data, and do advanced analyses on it.

81. Rivery

Rivery is based on the DataOps framework, which automates data intake, transformation, and orchestration. Rivery, being a low-code ETL platform, provides numerous critical features, ranging from pre-built data connectors to quick data model Kits.

Top Features

More than 200 data sources
More than 15 data destinations are supported.
24/7 customer service
ELT, Reverse ETL, and transformation support Starter kits with pre-built "rivers" that connect popular data sources and destinations.

Pricing

The starter plan costs $0.75 per RPU credit.
Professional plans begin at $1.20 per RPU credit.
Contact the sales staff for the Enterprise plan.

Pros

Rivery's beginning kits make it simple to get started immediately.
Nontechnical users will like the no-code "rivers" and user interface.
Excellent client service.

Cons

Pricing is complicated, even when compared to competitors that volume price, and can be difficult to grasp or estimate month to month.
While the GUI simplifies simple connections, it can be challenging for big and sophisticated data pipelines.
Users have complained that the error messages and alert system are unclear and difficult to understand.

Who is Rivery best suited for?

It is best suited for enterprises that require the integration of data from several sources and the availability of that data for reporting, analytics, and other business-critical applications. It's also useful for firms that need to manage and monitor data pipelines as well as handle data governance.

82. Etleap

Etleap is an ETL solution that allows you to build excellent data pipelines from the start. Etleap, unlike other business solutions, does not necessitate considerable engineering labor to set up, manage, and scale.

Top Features

Access Controls/Permissions
Activity Dashboard
Monitoring
Real-Time Monitoring
Collaboration Tools
Search/Filter
Application Management
Data Blending
Managed File Transfers

Pricing

Etleap does not provide pricing information. The company provides a free trial, but only after potential clients go through a sales engineer demo.

Pros

Transformations and strong security features
VPC offering
Code-free transformations

Cons

Only Amazon Redshift and Snowflake are available as data destinations.
There is no Rest API connector.
The user interface is out of date and difficult to use.

Who is Etleap best suited for?

It is best suited for an organization that wants to automate the majority of ETL setup and maintenance operations and reduces the rest to 10-minute activities that analysts can handle.

83. Precisely Connect

Precisely is a data integrity software firm that also offers big data, high-speed sorting, ETL, data integration, data quality, data enrichment, and location intelligence. Connect enables you to get control of your data as it moves from the mainframe to the cloud.

Top Features

Data access and collection are both seamless.
CDC real-time data replication
Optimize environments to achieve peak performance.
Data transformations that are future-proof

Pricing

Pricing information is not publicly available.

Pros

It is simple to establish a new CDC connection.
Precisely Connect is an excellent choice for mainframe integration and streaming.

Cons

It is suitable for ETL workloads but not for data preparation.
The GUI is not yet developed enough to connect to a database.

Who is Precisely Connect best suited for?

It is ideal for organizations that need to integrate data for advanced analytics, substantial machine learning, and simple data migration via batch and real-time intake.

84. Gathr

Gathr is a single data platform that manages ingestion, integration/ETL (extract, transform, load), streaming analytics, and machine learning from start to finish. It excels in usability, data connectivity, tools, and extensibility.

Top Features

Unified data integration platform with built-in ML
Batch and real-time data integration
Modern cloud-native architecture
300+ pre-built connectors & operators
Self-service, zero-code
Templatized apps for ingestion and CDC
Fully automated data pipelines

Pricing

Gathr offers a 14-day free trial. To obtain a pricing quote, please contact the sales team.

Pros

Significantly curtailed migration efforts
Improved developer productivity
Validation is carried out automatically.
Mapping existing workflows one-to-one

Cons

Users may encounter challenges that are time-consuming and difficult to resolve.
Gathr may not include connections for all of the data sources that a company may want to integrate, requiring additional development work to accommodate them.

Who is Gathr best suited for?

It is best suited for businesses looking for actionable insights from vast amounts of complicated operational data to efficiently solve various use cases and improve the customer experience.

85. Boomi

Boomi is a software business that specializes in platform as a service integration, API administration, master data management, and data preparation. Boomi offers an integration platform as a service (iPaaS), which allows applications and data sources to be connected.

Top Features

ETL (Extract, Transform, Load)
Master Data Hub
B2B/EDI Management
API Management
Create customized workflows that automate activities using Boomi's built-in capability.

Pricing

Plans are payable monthly and begin at $549 per month. There is a 30-day free trial available.

Pros

Dell Boomi enables individuals to create customer ETL solutions with little or no code.
It is easy to integrate.
Scalable and dependable.
Even with massive amounts of master data, our software is powerful and efficient.

Cons

Pricing is high for new businesses and enterprises, yet low for high-end businesses.
Boomi's user interface may be improved, as well as its data modeling speed and capabilities.
Data cleaning procedures' quality should be enhanced.

Who is Boomi best suited for?

It is ideal for businesses that want great flexibility, including the ability to combine both cloud-based and on-premises data and applications, and it supports real-time, event-based, and batch processing.

Recommended Read: Dell Boomi vs. Celigo Comparison

86. Ataccama

Ataccama ONE combines Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric that can be used in hybrid and cloud environments.

Top Features

Data transformation
Data standardization & cleansing
Data preparation
Web services
External data enrichment & validation
Deduplication
Data masking
Orchestration

Pricing

It provides a suite of free software for data professionals.

Pros

It's easy to set up and utilize.
IaaS alternatives that are adaptable.
The GUI is basic enough that business specialists can maintain databases themselves.
Excellent for simple datasets that must be transferred to other systems with minimal change.
It is simple to migrate large files.
Data cooperation is simple.

Cons

It is not 'low code' or 'no code' to support more complicated data transformations.
More functionality for data quality products should be introduced to the Attacama family.

Who is Ataccama best suited for?

It is best suited for enterprises seeking a complete data management solution capable of handling massive data volumes and complicated data formats. It is a data management platform for data integration, data quality, master data management, and data governance.

87. Prospecta

Prospecta aims to accelerate performance and operational excellence across all levels of an organization by being the top platform for data quality and integrity and empowering organizations with digital development and transformation.

Top Features

Data Insight
Cleansing and Standardization
Transformation and Migration
Master Data Governance
Data Collaboration
Data Science

Pricing

There is no pricing information available. To obtain a quote, please contact the sales staff.

Pros

The most popular features are scalability, adaptability to multiple interfaces, and ease of usage.
Implementation simplicity

Cons

The implementation process took far too long.
Basic adjustments necessitate the assistance of a consultant.

Who is Prospecta best suited for?

Companies that need to combine data from numerous sources, clean and transform it, and load it into a data warehouse or other target system generally utilize it. They are best suited for enterprises that must deal with massive amounts of data and sophisticated data structures.

88. Xtract.io

Xtract.io provides AI and ML-powered data management, data extraction, business insight, workflow management, and location data services.

Top Features

Location Data.
Ecommerce and Retail.
Data Management.
Data Analytics.
Reputation Management.
Lease Abstraction.
Financial Data Extraction.

Pricing

There is no pricing information available. To obtain a quote, please contact the sales staff.

Pros

To give correct information, it leverages AI/ML technologies such as NLP, picture recognition, and predictive analytics in the development of our range of solutions and platforms.
The comprehensive reports and dashboards provided by Xtract.io will enable your analytics team and decision makers to make speedy data-driven decisions.
Xtract.io provides customized and adaptable data solutions to help you address real-world business problems.

Cons

Not open source
No API support

Who is Xtract.io best suited for?

This ETL tool works with a variety of business applications, including payroll systems, reporting tools, accounting software, and CRM.

89. Materialize

Materialize extends access to Timely and Differential Dataflow's extensive stream processing capabilities by putting them in a familiar and accessible SQL layer that is Postgres-wire-compatible.

Top Features

PostgreSQL is displayed. Materialize can be managed and queried using any Postgres driver or tool.
Inputs are streamed.
Designed for JOINS.
Storage and computation are kept separate.
Engine for Incremental Computing.
Active replication.
Reads with low latency.
Primitives that are triggered by an event.

Pricing

Materialize pricing begins at $0.98 per hour.

Who is Materialize best suited for?

It is best suited for businesses that want to ask complicated questions about data using SQL and incrementally update the answers to these SQL queries as the underlying data changes.

90. Xplenty

Xplenty is a cloud-based platform for data integration and operationalization using reverse ETL. No-code data ingestion, transformation, and preparation are possible thanks to a point-and-click interface. It integrates with Salesforce, Amazon Aurora, Google BigQuery, Oracle, SFTP, Asana, and Basecamp, among other platforms.

Top Features

Users may integrate data warehouses, files, databases, and applications with ease with Xplenty ETL tools software.
Using webhooks and an advanced API, users can modify and personalize this software.
Users can easily process records using this software's elastic and scalable infrastructure.

Pricing

Xplenty does not provide pricing information. Users that request a product demo are eligible for a 7-day free trial.

Who is Xplenty best suited for?

It is best suited for businesses seeking an integration platform that provides tools for extracting data from multiple cloud apps and moving it between data storage.

91. DBSoftlab

DB Software Laboratory launched an ETL tool that provides end-to-end data integration solutions to world-class organizations. DBSoftlab design products will assist in the automation of business operations.

Using this automated method, a user will be able to view ETL operations at any time to determine where they stand.

Top Features

It is a licensed commercial ETL tool.
ETL solution that is simple to use and faster.
It supports Text, OLE DB, Oracle, SQL Server, XML, Excel, SQLite, MySQL, and other databases.
It extracts information from any data source, including emails.
End-to-end business automation.

Pricing

This product or service does not have a price listed by DBSoftlab.

Who is DBSoftlab best suited for?

It is best suited for companies who want to specialize in enterprise software development, customization, and integration, which covers both desktop-based and advanced web and mobile solutions.

92. Flatfile

Flatfile is a Denver-based data import application that helps onboard and normalizes data by automatically matching data columns and executing complex validation algorithms to ensure unmanageable client spreadsheets are transformed into clean, ready-to-use data for goods.

Top Features

Data mapping on the client side
Validation on an individual basis
View and search import history

Pricing

It offers a free trial period. To obtain a price quote, please contact the sales staff.

Who is Flatfile best suited for?

Flatfile is used by software applications. It alleviates the burden of creating and administering your custom data importer.

93. Popsink

Popsink is a serverless data platform that allows you to easily automate your activities in real time. As it happens, ingest, process, and activate.

Top Features

Serverless Infrastructure
ETL meets Reverse-ETL
Secure & Compliant
Real-time ETL
Easily manage your real-time jobs.
Pay Only for What You Use
GDPR / CCPA Compliant

Pricing

Pricing information is not publicly available.

Who is Popsink best suited for?

It is ideal for businesses looking to bridge the gap between insights and actions by providing data teams with the missing component in their Modern Data Stack.

94. Meroxa

Meroxa is a data application platform where Turbine applications can be run. Meroxa manages the underlying streaming infrastructure, allowing developers to concentrate on developing their applications.

Top Features

Open-source tool
Pricing is Event-based
Stream/real-time processing
Supports 10+ connectors

Pricing

Pay $0.0015 per minute above the free 1,000 minutes each month.
Over the free 1 million events each month, pay $0.000006 per event.
For the Enterprise plan, please contact sales.

Who is Meroxa best suited for?

It is ideal for businesses searching for a data streaming platform that can be used to build a real-time data infrastructure. Which automates the laborious tasks of change data gathering, monitoring, and data loading.

95. SAS Data Integration Studio

SAS Data Integration Studio is a graphical user interface that allows you to create and manage data integration procedures.

For the integration process, the data source might be any application or platform. It includes sophisticated transformation logic that allows a developer to create, plan, perform, and monitor jobs.

Top Features

It makes the data integration process easier to execute and maintain.
The interface is simple and wizard-based.
SAS Data Integration Studio is a versatile and dependable tool for dealing with and overcoming data integration difficulties.
It handles challenges with speed and efficiency, lowering the cost of data integration.

96. Bubbles

Bubbles is a Python-based ETL platform for data processing and quality measurement. It supports essential concepts such as dynamic operation dispatch, abstract data objects, and so on.

Top Features

ETL (extraction, transformation, and loading)
preparation of data for further analysis.
data probing -- analyzing properties of data, mostly categorical in nature.
data quality monitoring.
virtual data objects -- abstraction of table-like structured datasets.

Pricing

Pricing information is not publicly available.

Who are Bubbles best suited for?

Bubbles are best suited for developers who aren't particularly committed to Python and are looking for a technology-agnostic ETL framework. It is ideal for businesses that need to extract information from sources such as CSV files, SQL databases, and APIs from websites such as Twitter.

97. Everconnect

Everconnect is the leading managed service provider (MSP) and managed database provider in California, specializing in small to mid-sized businesses.

Top Features

Experts in ETL solutions (such as SQL Server Integration Services -- SSIS, Azure Data Factory, Informatica, Xplenty, FiveTran, etc.)
Streamlined, highly integrated data environments
Customized ETL solutions
Profiled and cleansed source data
Strategized implementation and adoption

Pricing

Pricing information is not publicly available.

Who is Everconnect best suited for?

It is ideally suited for all enterprises that want to profit from a completely automated ETL operation and store, aggregate, and process information. organizations who wish to reduce time, standardize data, minimize inconsistencies and incorrect data, and report process status to important stakeholders.

98. Mitto ETL+

Mitto is a data staging platform that is quick, light, and automated. Connect to APIs, databases, or flat files to prepare your data for analytics.

Top Features

Setup in the cloud or on-premises the same day
Over 99.99% of platform availability
SSL protects user-to-Mitto interactions. Mitto samples and learns the data coming in from your sources in order to better understand it and dynamically update tables to fit it.
Use the visualization software that best meets the demands of your organization.

Pricing

Pricing information is not publicly available. It offers a free trial package.

Who is Mitto ETL+ best suited for?

It is best suited for enterprises seeking a complete data management solution capable of handling massive data volumes and complicated data formats. It's also ideal for businesses that need to harvest data from many systems, clean it up, transform it, and load it into a centralized location for reporting and analysis.

99. Optimus Mine

Optimus Mine is a data integration application that extracts data from multiple sources, transforms it, and inserts it into a single location. Optimus Mine is an ETL pipeline tool that allows users to swiftly and easily transport data between numerous sources and destinations with no programming required.

Top Features

Data Transformation
Data Extraction
API Integration
Master Data Management
Data Integration

Pricing

The starter package is £25 per month.
Professional plans begin at £100 per month.
Get a quote for the Enterprise plan.

Who is Optimus Mine best suited for?

It is highly suited for businesses who wish to execute sourcing and enrichment of unique datasets from around the web, as well as extracting genuine economic value from them.

100. Polytomic

Polytomic is a newcomer to the Reverse ETL scene. It is already SOC 2 Type 2 compliant, and unlike most Reverse ETL systems, it can be deployed on-premises.

Top Features

Replace several vendors. Reduce costs and streamline processes.
All syncs are handled on a single platform. ETL, Reverse ETL, ELT, iPaaS, APIs, and spreadsheets are all examples of ETL.
Only sync what has changed.
SQL query support is provided.
Take data from any API.
Self-hosting is an option.
Enterprise-ready.

Pricing

Pricing for Polytomic begins at $500 per month.

Who is Polytomic best suited for?

Polytomic is ideal for firms that need to keep data in different systems in sync or that require a backup of data in a source system. Retail, finance, and healthcare are some businesses that may employ Reverse ETL.

101. Shipyard

Shipyard is a serverless workflow automation tool that simplifies and makes automation activities more visible. It enables Data Teams to focus on deploying, monitoring and sharing business solutions without relying on DevOps. The platform now includes over 50 integrations to connect all of the major databases, cloud storage systems, and communications services used in your data stack without the need for coding.

Top Features

Ease of use
Automation
Connectors
Real-time monitoring
Scalable infrastructure

Pricing

Pricing for Shipyard begins at $50 per month.

Pros

Its user-friendly design allows anyone to utilize the tool.
It provides pre-made templates for developing bespoke pipelines that you may slice and tweak as you see fit. Advanced users, such as data engineers, can additionally automate scripts in their preferred language. It's a win-win situation.
It has a drag-and-drop interface that allows users to swiftly change and adjust pipelines.
Shipyard has an excellent knowledge base with detailed documentation, as well as a changelog on its website.
It provides chat help and allows users to schedule a call with the customer care team directly.

Cons

No API access to bulk update/create.
You cannot export or save your logs outside.
There is no credential management. Credentials must be entered each time a new workflow is created.
There are no ready-made interfaces for absorbing data from SaaS tools.
Because processed data is ephemeral, if something goes wrong in the middle, the process must be restarted from the beginning.

Who is Shipyard best suited for?

The shipyard is a good choice for businesses looking for a dependable and effective ETL tool that is simple to use and scalable.

102. Google Cloud Data Fusion

Google Cloud Data Fusion is a fully managed, cloud-native data integration platform that allows businesses to swiftly create, plan, and automate data pipelines. It includes several data management and manipulation tools and capabilities, such as support for data cleansing, data quality checks, and data mapping.

Top Features

Integration with Google Cloud products
Visual design environment
Data transformation functions
Data lineage and governance
Secure data transfer and Scalability
Cost-effective pricing and Good technical support

Pricing

Three editions of Cloud Data Fusion are offered for pipeline development:

Developer Edition costs $0.35 per month (about $250).
Basic Edition costs $1.80 per month (about $1100).
The Enterprise Edition costs $4.20 per month (about $3,000).
The Basic edition includes the first 120 hours per month per account.

Pros

Business-grade security and GCP-native support
Streamlined procedures
Lineage and metadata integration

Cons

Google Cloud Data Fusion works flawlessly with other Google Cloud services such as BigQuery, Cloud Storage, and Cloud Pub/Sub.
However, to use Google Cloud Data Fusion effectively, users must have a Google Cloud account and be familiar with the other services.
Customization choices are limited.
Because Google Cloud Data Fusion is a commercial software product, it requires a license to use.
Google Cloud Backup options may be limited, requiring the need for a third party application for data protection.

Who is Google Cloud Data Fusion best suited for?

This solution is best for those utilizing BigQuery - as it allows for the building of customizable, cloud-based data warehousing solutions.

103. Pentaho Kettle

Pentaho Kettle, also known as Pentaho Data Integration, is a powerful open-source platform for data integration and transformation (PDI).

The Extract, Transform, and Load (ETL) paradigm, on which Pentaho Kettle is built, comprises extracting data from one or more sources, transforming it to meet specific requirements, and loading it into a destination.

Top Features

Job and Transformation design
Scalability
Error handling and recovery
Batch scheduling and monitoring
Extensibility

Pricing

Pentaho Kettle presently has a 30-day free trial period. There is no pricing information supplied.

Pros

Because Pentaho Kettle is an open-source platform, users can access the source code and use it for free.
It supports a wide range of data sources and transformations and has a standard architecture and graphical drag-and-drop user interface for developing and managing ETL processes.
Pentaho Kettle has a large and active user and developer community that contributes to the platform and provides support and guidance.
Database replication, data migration, and support for changing dimensions and schemas in data warehousing are all examples of strong DBA services.

Cons

It relies on third-party software features such as Java to work.
Data integration takes too long due to server load.
Data modeling can take an inordinate length of time, depending on the model's complexity.
Many commercial links, such as any SaaS app, are missing.

Who is Pentaho Kettle best suited for?

It is often best suited for enterprises that want to automate and streamline their data management activities and require a flexible, open-source solution for data integration and transformation.

Pentaho Kettle integrates easily with a wide range of other products and platforms, making it simple to use as part of a larger data management and analysis process.

104. Apache Hive

The Apache Hive data warehouse and SQL-like query language are used by the Hadoop distributed file system (HDFS) and other big data systems. It provides an easy user interface for managing and performing queries on massive datasets stored in Hadoop and other big data systems such as Apache Spark and Apache Impala.

One of Hive's key features is its ability to turn SQL-like queries into MapReduce tasks that can be run on a Hadoop cluster.

Top Features

SQL-like query language and HiveQL
Data Partitioning and Table Bucketing
UDF (User-Defined Functions)
Support for Different File Formats
Performance Optimization
Integration with other Hadoop components
Multi-Language and Multi-user support

Pricing

The Apache Software Foundation has not yet disclosed pricing information.

Pros

Because HQL, like SQL, is a declarative language, it lacks procedural functionality.
Hive is a dependable batch-processing framework that may be used as a data warehouse on top of the Hadoop Distributed File System.
Hive is capable of handling Petabyte-sized datasets, which are enormous.
With HQL, we could reduce the 100 lines of Java code required to query the contents of a structure to four.

Cons

Apache Hive only supports OLAP; online transaction processing is not supported (OLTP).
Because it takes time to produce a result, Hive is not used for real-time data querying.
Subqueries are not permitted.
The latency of the apache hive query is really high.

Who is Apache Hive best suited for?

Apache Hive is a query language for data warehousing and data analysis that may be used for a variety of data processing and analytical tasks. Hive is a powerful tool for processing and analyzing massive amounts of data stored in Hadoop.

Things to look for in an ETL solution

Data Management

An ETL tool must be able to connect to a diverse set of data sources and destinations. Look for a tool that can connect to popular databases, file types, and APIs.

Data Transformation

A critical component of the ETL process is the capacity to clean, filter, and transform data. Look for a tool that can do a variety of data transformation tasks, such as cleansing, mapping, and aggregation.

Data Load Performance

The speed and efficiency with which the ETL tool can load data into the destination system are critical, especially when dealing with big data sets or real-time data integration.

Data quality

It is the ability to ensure the accuracy and completeness of data by finding and correcting errors as well as filling in voids.

Data security

The tool should have secure data transport and handling capabilities, such as encryption, authentication, and access controls.

Scalability

This refers to the tool's capacity to handle changes in data volume and complexity over time without requiring major rework or additional personnel.

Ease of use

The tool should offer an easy-to-use interface that allows ETL developers to easily construct and maintain ETL processes. This could contain elements such as a visual drag-and-drop design environment and extensive documentation.

Error management

The tool should have strong error-handling capabilities to guarantee that data is extracted and transformed correctly and that any difficulties are documented and addressed.

ETL Tools: Key Takeaways

ETL tools may extract data from a range of sources, including databases, flat files, and APIs, and can be used to integrate data from numerous sources.
ETL tools can change data to meet specific requirements: Businesses can cleanse, validate, and enrich data as it is extracted using the "transform" process of ETL. Standardizing data formats, eliminating duplicates, and computing derived values are examples of such jobs.
ETL tools can load data into a variety of destinations, including The "load" step of ETL allows enterprises to load data into a wide range of targets, including data warehouses, data lakes, and reporting systems.
Data migration can be automated and scheduled using ETL tools: Scheduling and automation capabilities are common in ETL systems, allowing businesses to schedule data transportation and transformation operations to occur automatically at predefined intervals.
Data warehousing and Business Intelligence (BI) require ETL tools: The ETL process is critical for loading and managing data in data warehouses, which is essential for business intelligence.
Portable, Apache Nifi, Talend, Informatica PowerCenter, and Microsoft SSIS are some popular open-source and commercial ETL solutions.