25+ Reverse ETL Tools to Keep Your Data Destinations In Sync

Purpose of Reverse ETL

Extract, Transform, and Load (ETL) is the data management process of ingesting multiple data sources, adjusting the data format, appending metadata, and loading it into a target system.

Reverse ETL works similarly but with a different objective.

Reverse ETL Pipelines

Instead of aggregating various data sources to reach a data warehouse or a data lake, the direction of data flow is the opposite.

The data sets are automatically transformed and loaded into destination applications from a single source of truth, such as a data warehouse. Since the data is usually free of defects or formatting issues, data engineers can keep all business systems in sync.

Now, let's look at the best tools for performing Reverse ETL.

Best Reverse ETL Tools

Boomi
Castled
Census
DB Amp
Fivetran
Grouparoo
Hevo
HighTouch
Integrate
Keboola
Looker
Lytics
Matillion
MessageGears
Nexla
Octolis
Omnata
Panoply
Polytomic
Rivery
RudderStack
Seekwell
Stitch
Striim
Syncari
Weld

1. Boomi

Boomi is a software company that focuses on a platform as a service integration, API management, master data management, and data preparation. Boomi provides an integration platform as a service (iPaaS) that connects apps and data sources.

Top Features

The Central Data Center.
Handling of B2B/EDI Transactions.
API Management.
Using Boomi's built-in functionality, create customized processes that manage activities.

Pricing

Rates start at $549 per month and are charged monthly. A 30-day free tryout is offered.

Pros

Dell Boomi allows users to build client reverse ETL solutions with little or no coding.
It is simple to incorporate.
Flexible and reliable.
Software is strong and effective even when dealing with massive quantities of master data.

Cons

Pricing is high for new and growing companies but cheap for high-end firms.
Boomi's user interface, as well as its data modeling speed and powers, could be enhanced.
Problems integrating large amounts of data.
The integrity of data cleaning processes should be improved.

Who is Boomi best suited for?

It is ideal for businesses that require a high level of flexibility, such as the ability to combine cloud-based and on-premises data and applications, and it supports real-time, event-based, and batch processing.

2. Castled

Castled is a reverse ETL (Extract, Transform, Load) tool that assists companies in transferring data from data warehouses or data lakes to operational systems like CRMs, marketing automation platforms, and other third-party tools.

Castled is a cloud-based tool that is simple to use and has an intuitive UI, making it suitable for non-technical users.

Top Features

Enables companies to build custom workflows for data processing automation.
Automatically enrich data with knowledge obtained from third parties.
Links to well-known data sources such as CRM, Hubspot, and Google Analytics.
Machine learning techniques are used to autonomously map data from various sources.
Allows for role-based access management.

Pricing

Castled offers three versions with prices ranging from $500 to custom.

The monthly fee for the starter version is $500.
The standard edition begins at $1000 per month.
Contact the sales staff for the Enterprise package.

Pros

Connect straight to your warehouse, and you'll be up and running in no time.
Offers data validation functionality.
A simple interface that enables non-technical users to configure.
Automatically maps info from various sources.

Cons

Customization choices are restricted.
Not an open-source tool.
Provides fewer connections than some other reverse ETL tools.

Who is Castled best suited for?

It is ideal for businesses looking for a way to build hyper-targeted ads for their cloud data repository.

3. Census

Census is a popular reverse ETL solution for Operational Analytics enablers that syncs data from your data warehouse to a variety of third-party apps.

Census delivers SQL and dbt models from your data warehouse seamlessly in your operational tools, allowing you to assure customer success. This keeps your Sales and Marketing Teams linked while eliminating the need for engineering bandwidth.

Top Features

Census works in conjunction with your existing data infrastructure.
Creates notifications for failed, invalid, and refused entries.
Provides real-time transparency for API queries and replies.
Cleanse and reformat the extracted data into the required target file.

Pricing

The free tier includes up to ten synchronized fields, with options starting at $300 per month and a 14-day free trial.

Pros

User-friendly interface for planning tasks and adding new data sources.
Adequate notification when tasks fail.
Data uploads to Google Sheets are comparatively steady.
Both the data source and the destination have important integrations accessible.

Cons

When altering the data source or query, columns don't always auto-calibrate.
With comparable or outdated queries plus employment, the potential to decrease sprawl is not significant.
Lack of granular role management.

Who is Census best suited for?

For businesses that place a premium on scalability, observability, and performance, Census is the Reverse ETL platform of choice.

4. DB Amp

For any SQL Administrator, DBAmp is the ideal Salesforce integration option. A company can quickly view all of Salesforce info in real-time using standard SQL with DBAmp.

A company can use DBAmp to expand the SQL Server connections they have created for BI, analytics, and reporting to Salesforce data.

Top Features

Allow Salesforce Intelligence, analytics, and reporting from any application via SQL Server.
Real-time integration of data from internal networks with CRM.
Create reports that integrate real-time data from SQL Server and Salesforce to provide timely insights.

Pricing

DBAmp has one plan: DBAmp, which costs $2495.00 per year.

Pros

DB amp allows you to integrate SFDC directly from your SQL server.
DBAmp removes the majority of the intricacy from the Salesforce integration procedure.

Cons

The difficulty of the setup and setting procedure.
The requirement for continuous upkeep and monitoring to guarantee data consistency.
Data disputes or mistakes are caused by variations in data models between Salesforce and the data repository or lake.

Who is DB Amp best suited for?

It is best suitable for businesses that deal with Salesforce and need a tool to expand the same SQL Server interfaces designed for BI, analytics, and reporting to Salesforce data.

5. Fivetran

Fivetran is a cloud-based data integration tool that helps businesses automate data transmission from multiple sources to a central data repository or elsewhere.

Fivetran employs a completely managed, zero-maintenance design, which automates duties such as data translation, data quality reviews, and data deduplication.

Top Features

Complete integration.
Fast deployment.
Important notifications are always up to date.
Fully managed.
Personalization and raw data access.
Integrate any Analytics software.
Schema mapping and integration tracking.

Pricing

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

The Starter edition is $1 per credit.
In the standard version, each credit costs $1.5.
Each credit in the Business version costs $2.

Pros

Strategy for managed services.
Data analytics models that have already been created.
Low running costs.

Cons

Support for Data Processing is Minimal.
Enterprise data administration capabilities are lacking.

Who is Fivetran best suited for?

It is best suitable for companies that want to remove the need for repetitive data merging methods and reduce the time and resources needed to handle data networks.

6. Grouparoo

Grouparoo is another popular reverse ETL technology that allows enterprises to transport data in real-time between their data warehouses or databases and Cloud-based operational tools.

One significant feature that distinguishes Grouparoo from other programs is that it provides a free, open-source Community Edition. This implies that organizations can modify the code base to meet their use case and business requirements.

Top Features

Designed for developers, it includes a command-line interface (CLI) and software development tools (SDKs).
Plugin architecture enables companies to quickly add new connections and data sources.
A framework for data testing that enables companies to evaluate their data.
Implemented as a self-hosted solution or as a cloud-hosted solution.
A free and open-source program.

Pricing

Grouparoo has two subscription tiers, Standard Cloud and Enterprise Cloud, in addition to a free Open-Source Community Version.
The Standard Cloud tier costs $150 a month and allows customers to sync 100k records.
The Enterprise Cloud tier is a tailored package for businesses with bigger data needs.

Pros

A free and open-source tool.
Emphasizes data privacy and security, giving companies granular control over their data while ensuring it is encrypted and safe.
Developers will find it simple to connect with current tools and workflows.

Cons

In comparison to commercial products, documentation is limited.
To use the tool, you must spend on hardware or online hosting services.
Grouparoo can be complicated to set up and use, necessitating technological knowledge.

Who is Grouparoo best suited for?

It is ideal for businesses looking for a structure to help them transfer data between their data warehouse and cloud-based applications.

7. Hevo Activate

Hevo Activate allows you to move data from Snowflake, Amazon Redshift, and other sources to SaaS applications, CRMs like Salesforce and HubSpot, support platforms like Zendesk and Intercom, and much more.

Hevo Activate is completely controlled and automates not only the loading of data from your selected source to your destination but also the enrichment and transformation of the data into an analysis-ready format.

Top Features

Data is managed safely, consistently, and without data loss thanks to a fault-tolerant architecture.
Easy-to-use UI for streamlining, enhancing, and refining data transmission.
Simple and transparent, ensuring that your data is transferred in a matter of seconds.
24/7 Support.
Dashboard and Reports.

Pricing

Up to a million occurrences are free, but only from more than 50 data sources.
The beginner plan starts at $239 per month.
For a business plan, contact the sales team.

Pros

User-friendly tool with outstanding functionality.
It allows for far too many connections via modules.
Simple pricing options that are simple to expand.
There are no complicated settings, and the setup is simple.

Cons

It is possible to enhance the capacity to handle pipelines in bulk.
There are instances when a specific connector does not function as anticipated.
There is a delay in replying to conversation requests, which could be better.

Who is Hevo Active best suited for?

Hevo is ideal for data teams with well-known data sources searching for a no-code platform with Python code freedom.

8. Hightouch

Hightouch is a reverse ETL technology that enables enterprises to easily sync data from data warehouses to Customer-facing Team Apps. This group includes CRMs, marketing, and customer service systems like Salesforce, Hubspot, Marketo, Gainsight, Zendesk, and many others.

Businesses may also utilize their data warehouse as an operational and analytics center. This enables them to use the analysis to power their operational procedures.

Top Features

Syncs data with the tools at the frequency set by the user.
Only syncs data that has changed since the last call.

Pricing

Hightouch has two premium tiers, Team and Business, in addition to its free tier.

A free tier only allows for one destination.
The Team rate costs $150 per month for 10k Active Records, $300 per month for 30k Active Records, and $600 per month for 100k Active Records.
The Business layer is a specialized tier designed for large organizations with sophisticated needs.

Pros

Customizing it to meet our requirements is quick and straightforward.
It instantly updates with modifications.
It is a sufficient option that fits your money.
Integration is simple.
All client info is visible and very simple to evaluate.
It is easier to use and more straightforward.
Data transfer between sources is quick and simple.

Cons

Getting the most out of software may require some technical knowledge because it can be complex.
HT does not make it obvious what the errors imply or how to resolve them.
The ability to dynamically map categories based on names can be useful.

Who is Hightouch best suited for?

It is best suitable for companies that want to transfer data straight from their warehouse or BI tools to their sales and marketing tools. An instrument that anyone with different technical abilities, from an engineer to a sales or marketing staffer, can use.

9. Integrate

Integrate is a cloud-based integration platform as a service (iPaaS) that allows companies to link and automate their business applications and data with ease.

The platform includes several pre-built connectors to popular business programs, as well as the ability to build new interfaces using a drag-and-drop UI and a variety of tools and API integration services.

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 basic ETL and Reverse ETL options begin at $15,000 per year.
Plans for professional ETL and reverse ETL start at $25,000 per year.
Please contact the sales staff for Business Edition.

Pros

Integrate provides a straightforward, drag-and-drop interface that enables even non-technical users to establish and handle integrations.
Integrate is built to manage vast quantities of data and can easily expand to meet the needs of any company.
Integrate provides several pre-built connectors to key business apps, saving time and effort when merging separate systems.

Cons

Debugging can be challenging if fault logs lack granularity.
The interaction of fields or packages is sluggish.
It is not always straightforward to use.

Who is Integrate best suited for?

Integrate is best suitable for small to medium-sized businesses or divisions of larger corporations that need to rapidly connect and automate their business systems and data, usually in e-commerce.

It is best suitable for businesses that require operational analytics, as it automatically provides real-time data to the exact location where it is most required.

10. Keboola

To combine, improve, and share data for their internal analytics projects and data products, customers can use the open and extensible cloud-based data integration tool offered by Keboola.

Top Features

Capabilities for comprehensive data transformation.
Data modeling and data mapping are built-in.
A wide variety of data sources and destinations is supported.
Flexible workflows that allow scripting.
Provides a customizable pricing structure depending on utilization.
Provides notifications and real-time tracking.

Pricing

Keboola provides a free and enterprise package. Contact the Sales team for an enterprise plan.

Pros

Competent data management, which improves analytical effectiveness.
Individualized data sourcing for accurate analysis.
Additional tools for business research that work flawlessly.
UI that is simple to use for non-technical people.
Provides a customizable pricing structure depending on utilization.

Cons

Increase the number of languages the utility supports.
Some specialized or unusual data sources and destinations might not be supported.
Some sophisticated features demand custom scripting or setup, which can take a lot of time for non-technical users.

Who is Keboola best suited for?

It works best for businesses looking for a solution to streamline and speed up data engineering so they can get better outcomes from their data operations.

11. Looker

Looker is a data analytics and business intelligence platform that contains a reverse ETL (Extract, Transform, Load) tool as one of its features.

Looker is a cloud-based tool that gives less technical people (like human resources) access to complex data visualization and analytics tools.

Top Features

Data syncs should be scheduled, and data integrity should be monitored.
Give teams the ability to share data models and analysis among themselves.
Looker can be integrated into other applications or web pages.
Offers data transformation choices such as filtering, aggregation, and computations.
LookML is a powerful data modeling language.

Pricing

Please get in touch with the sales team to request an estimate.

Pros

Capable of gathering info from various sources.
The ability to build dashboards and views.
Offers excellent precise and real-time data analytics.
Customized SQL Searches functionality.

Cons

Significant management and maintenance personnel, including IT assistance.
The dashboard's look cannot be changed in a significant way.

Who is Looker best suited for?

Looker has proven to be beneficial to almost any business in the data analysis field.

12. Lytics

You can extract consumer data directly from your data warehouse and use it to build highly specific segments in your current ad networks using Lytics Cloud Connect, a reverse ETL option. Remove silos, obtain better data insights, and apply those insights to boost marketing Returns.

Top Features

The reverse ETL tool from Lytics offers customized displays.
The reverse ETL application from Lytics allows for the merging of data from a variety of sources.
Customer data should be activated across multiple networks and sites.
Machine learning techniques are used in the application.
The reverse ETL utility from Lytics includes automatic segmentation tools.

Pros

The platform and client support are both outstanding.
The tool for creating and identifying a community is potent but simple to use.
Adopter of Pre-Build Linking.

Cons

The built-in analytics capabilities are ineffective.
It is difficult to set up and use without technological knowledge.
Some unsupported connections or data providers.
There are few choices for customizing the utility beyond the features offered.

Pricing

Lytics offers two payment tiers: cloud connect and Decision Engine. Both offer a free trial. To obtain a quotation, please contact the support staff.

Who is Lytics best suited for?

It is ideal for businesses seeking to create personalized digital experiences and one-to-one marketing campaigns by concentrating on behavioral observations and combining them with sophisticated data science and machine learning decision capabilities.

13. 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

An easy-to-use tool for building data integration and transformation processes.
Numerous data sources are supported, including relational databases, unstructured files, and cloud-based data sources such as Amazon S3 and Google Sheets.
Data change tools are built in, such as filtering, pivoting, and combining data.
The capacity to plan and execute data integration and transformation tasks.
Monitoring and recording capabilities are provided to assist in troubleshooting and monitoring.

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

The user-friendly drag-and-drop UI allows users to simply create data integration and transformation processes, removing the need for coding.
Businesses can rapidly combine data from multiple sources into their data warehouses because Matillion offers a broad range of data sources.
Built-in data transformation tools can be used by businesses to clear and prepare data for research.

Cons

Organizations must depend on the seller for updates and assistance because Matillion is proprietary software.
Some users, particularly those new to data integration and transformation, may find the UI perplexing.
The framework may lack the granularity of more complex ETL tools.

Who is Matillion best suited for?

Matillion is perfect for businesses that need to integrate and convert data from multiple sources for research in a data warehouse.

It's a great option for small and medium-sized businesses, startups, and big companies seeking to leverage the power of the cloud without engaging in expensive equipment.

14. MessageGear

MessageGears is a cross-channel marketing tool that links straight to your data repository as a "connected application"! For non-technical marketers, our segmentation tool serves as a Reverse ETL that enables live, real-time segmentation and activation of client data from the database.

Top Features

Supports SQL queries.
Real-time data integration is offered.
Allows for multichannel promotion.
Offers merging of APIs with a variety of external systems.
Offers tools for enterprise-level security, such as access management, user authentication, and data encryption.
Built to be extremely flexible.
Manage large amounts of data and assist marketing campaigns with high traffic.

Pricing

Payment details are not disclosed to the general population. To obtain a quote, contact the sales staff.

Pros

Multiple methods for creating and sending emails.
Excellent customer care.
Integrating info in real-time.
Sophisticated segmentation skills.

Cons

Not be appropriate for small companies with minimal promotion requirements.
Need to give non-technical people more instruction.
Limited ability to customize some features.
Messy user interface.

Who is MessageGear best suited for?

Enterprises that require an adaptable and scalable tool for integrating data from various sources and enabling omnichannel marketing initiatives are best fitted for using MessageGears.

15. Nexla

Nexla is the pioneer in consolidated data management and a Gartner Cool Vendor. Powerful features enable anyone to build no-code data processes and ready-to-use data products.

To combine, transform, provision, and manage data at scale, business and data teams benefit from a collaborative, developer-friendly experience.

Top Features

Universal connector design.
Permanent metadata intelligence.
Nexsets are automated data products.
Data engineering & operations with no/low code.
Providing adaptive data.
Data flow and processing in the modern world.
Alerting, monitoring, and intelligent error handling.

Pros

There is no code method for designing data processes that can be used by any user.
APIs are more beneficial.
A comprehensive system that detects any instances where processes fail.
This tool can quickly process huge amounts of data.
The Nexla staff is extremely quick.

Cons

Costs can be reduced further.
Improved customer support will aid in the development of client trust.
A more user-friendly interface is required.

Pricing

Nexla offers three payment tiers: Pro, Team, and Enterprise. All offer a free trial. To obtain a quotation, please contact the support staff.

Who is Nexla best suited for?

It is best suitable for businesses that want to send data in the format that is best suited for the downstream application and provides the best analytics.

16. Octolis

Businesses can take data from one or more systems, transform it, and load it into another system using Octolis, a reverse ETL (Extract, Transform, Load) application.

It makes it simple to streamline data integration processes by offering real-time data synchronization, automatic data mapping, and extensive data transformation capabilities. Businesses that require a straightforward and user-friendly utility for synchronizing data between various platforms will benefit the most from Octolis.

Top Features

It's easy to set up and use without the need for coding or technical knowledge.
Includes built-in connections for widely used source and destination systems.
Tracking of data transfers in real-time.
Automatically maps the data fields from the source system to the destination system.
Can concurrently load data into numerous destination systems.

Pros

Synchronizing data in real-time.
Automatically mapping data.
Support for multiple destinations.
Zero-code interface.
Comprehensive data transformation.
Real-time monitoring.
Built-in connections for well-known systems.

Cons

Compared to some rivals, there is little documentation and community assistance.
For complicated data integration situations, it might not be appropriate.
Limited customization options.

Pricing

Standard plans begin at 700€ per month.
For the Enterprise package, speak with the sales staff.

Who is Octolis best suited for?

Businesses that need to synchronize data between numerous systems in real-time but don't need specialized technological knowledge or computing abilities should use Octolis.

It is perfect for small to medium-sized companies that utilize well-known software programs like Shopify, HubSpot, CRM, and others.

17. Omnata

Omnata's reverse ETL tool is designed for use with current data analytics stacks. It provides smooth connectivity between the data warehouse, Salesforce, and Zendesk. Omnata can replicate huge data in real-time to your operational apps without the need for a third-party infrastructure.

It's a safe and scalable reverse ETL tool for business purposes, however, it only syncs data from Snowflake and Google BigQuery. Omnata may be a useful tool for operationalizing data if you utilize Salesforce CRM.

Top Features

Data between source and destination systems can be instantly mapped using machine learning techniques.
Flexible tools for data transformation, such as data cleansing, enrichment, and normalization.
Framework with no code.
Integration of data in real-time.
Ability to control data integrity.

Pricing

Omnata's service offerings are divided into "Push" and "Connect."

Push costs $400 per month, whereas Connect costs $20 per user.
There is a free trial available.

Pros

Capabilities for flexible data transformation.
A no-code platform for non-technical people to easily start up and use.
Scalable to manage massive data volumes.
Provides tools for data quality management.
Monitoring and alerts in real-time for integration processes.

Cons

Limited scripting support compared to some rivals for advanced processes.

Who is Omnata best suited for?

Omnata is best suitable for mid-sized to large companies that need real-time data integration and transformation skills but do not have significant technical knowledge in-house due to its no-code platform and automated data mapping features.

18. Panoply

Panoply is an intelligent cloud data repository that simplifies data collection, modeling, and scaling.

Top Features

The complete data pipeline is automated.
Native cloud framework.
Extremely flexible, scalable, and everywhere available.
Code-free setup.
Integrated analytics skills.

Pricing

Its monthly costs begin at $200. There is always the option of the 14-day free tryout.

Pros

Improved monitoring using cloud-based software.
Establishing precise client profiles.
Operational analytics optimization.
System for automatically ingesting, transforming, and importing data.
Code-free environment for non-technical people to easily set up and use.

Cons

Lack of tech use cases.
Insufficient documentation.
Some data connections may require preliminary debugging.
It can be challenging to change info sometimes, particularly if you are not the owner.

Who is Panoply best suited for?

It is most appropriate for data analysts and managers who need to use data to produce ideas.

19. Polytomic

Polytomic is another lucrative reverse ETL tool that allows organizations to quickly build a live view of all customer data required in Marketo, Salesforce, HubSpot, and other business platforms.

Polytomic also has features that enable users to sync data in real-time, schedule it, or ask other users to conduct the required procedures.

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

Polytomic is divided into three tiers: Basic, Standard, and Enterprise. It does not, however, use a clear pricing methodology for any of the tiers, and the price may only be settled by contacting the Polytomic staff.

Pros

Excellent client service.
The user interface is simple to use, and the learning curve is short.

Cons

The quantity of connectors available is restricted.
It will occasionally experience disconnections.
The error messages aren't always clear, making it difficult to fix some difficulties.

Who is Polytomic best suited for?

Polytomic is perfect for businesses that need to maintain data in various synchronized systems or who need to back up data in a source system. Some industries that may use Reverse ETL include retail, banking, and healthcare.

20. Rivery

The Rivery platform is built on the DataOps architecture, which simplifies data input, transformation, and orchestration. Rivery, as a low-code ETL tool, offers a plethora of essential features, spanning from pre-built data connections to quick data model Kits.

Top Features

Rivery includes a large collection of pre-built data models that allow business teams to quickly build strong data pipelines.
A no-code, auto-scaling, and trouble-free infrastructure. Rivery handles the back end, freeing up teams to focus on mission-critical objectives rather than upkeep.
Rivery allows teams to create and clone customized settings for particular teams or projects.
Allows businesses to transfer data from cloud storage to business apps, marketing platforms, CPDs, and other systems instantly.

Pricing

The starter plan costs $0.75 per RPU credit.
Professional rates start at $1.20 per RPU credit.
For the Enterprise package, please contact the sales team.

Pros

There is no need for coding.
Quick customer service.
It performs effectively.
Covers a large number of applications.

Cons

It takes a long time to run rivers.
It is possible to enhance documentation.
Rivery's resource translation to the API could be enhanced.

Who is Rivery best suited for?

It is best suitable for businesses that need to integrate data from multiple sources and make that data available for reporting, analytics, and other business-critical apps. It is also beneficial to businesses that must control and watch data pipelines as well as handle data governance.

21. Rudderstack

RudderStack is the most popular open-source Customer Data Platform (CDP), with data flows that make it easy to extract data from any application, website, or SaaS platform and utilize it in your warehouse and business tools.

Top Features

You can control pipeline plans by configuring sync timings.
Data warehouse and data lake support.
Table suffixes can be used to set loads.
CRMs, payment platforms, and marketing tools are just a few of the 24+ cloud sources available.
Choose which data elements to include in the template.
Transformations at the destination are possible.

Pricing

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

Pros

Excellent 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 perfect for companies looking to break down data divisions. Move data from the tools of the product, sales, marketing, and support teams into their database to remove data silos.

22. Seekwell

With SeekWell, you can use SQL to send data from your database that you've built with dbt to popular business applications like Salesforce, Google Sheets, and Slack.

Top Features

Your queries can be scheduled to execute hourly, daily, or even every 5 minutes.
Your info will always be recent and up to date.
Code can be shared, tagged, or discovered by any member of your team.
Snippets are short, repeatable SQL chunks that can be shared with the team.

Pros

A notation with a timestamp, SQL query, and URL is appended to the Google sheet.
The help staff is outstanding.
Makes it simple to rapidly move data to Google Sheets.
Performs the same tasks as snowflake notation.

Cons

When you have numerous pipelines, the Interface can be difficult to manage.
The SQL block array can become quite lengthy.
Updates to searches do not save automatically.
No version history or controls.

Pricing

The starter package costs $50 per month and includes 500 planned runs.
The Pro plan begins at $150 per month and includes 2,500 planned workouts.
Team plans start at $300 per month and include 10,000 planned workouts.
The company plan begins at $500 per month and includes 25,000 planned workouts.
Contact the sales staff for more information on the enterprise package.

Who is Seekwell best suited for?

It is best suitable for a business user who wants to use a specialized Reverse ETL solution to extract data from a data repository (Snowflake) and into a business application (Google Sheets).

23. Stitch

Talend includes Stitch, a big data processing utility. It manages data extraction and basic changes via a built-in graphical user interface, Python, Java, or SQL. Talend Data Quality and Talend Monitoring are two additional features.

Top Features

Replication Frequency.
Constant auditing and email notifications.
Nested JSON Transformation.
Warehouse views.
Highly Scalable.
Designed for High Availability.

Pricing

Available 14-day no-risk tryout
The standard plan, which starts at $100 per month and includes up to 5 million active records per month, one location, and ten sources (limited to "Standard" sources)
You can get an advanced plan with up to 100 million rows and three places for $1,250 per month.
A premium service with up to 1 billion rows and five sites costs $2,500 per month.

Pros

ETL scheduling and automated alerts and tracking are useful.
There were over 130 data sources enabled.
Powered by open-source software.
Reverse ETL is a simple and potent tool designed for coders.

Cons

There is no on-premise implementation alternative.
Every Stitch blueprint has source and target constraints.

Who is Stitch best suited for?

Stitch is best suited for teams that use common data sources and need a simple tool for basic Redshift data import.

24. Striim

Striim is a real-time data integration and analytics tool that enables users to gather, process, and evaluate data from a variety of sources in real time. Your data is activated by reverse ETL, making it available on the systems used by your front-line employees.

It includes a wide range of data connectors and integration tools that enable users to link to a wide range of data sources, including databases, log files, online services, and IoT devices, and transmit data in real time.

Top Features

Real-time data merging and analytics capabilities.
Platforms for Striim Insights and In-Memory Data Grid.
Real-time statistics and SQL-based stream processing are enabled.

Pricing

Striim pricing is based on the quantity of data processed, and the number of data sources linked and starts at $2500 per month. Cost is determined by the use scenario. You can contact them for more information about their free trial.

Pros

Striim provides real-time data merging and analytics, enabling near-instant insights.
Detection of patterns and anomalies is good.
Creating and tracking metrics is very easy.

Cons

The web interface and real-time dashboard of the tool could be enhanced.
A license is a little expensive.
Community power should be developed.

Who is Striim best suited for?

Businesses that require real-time data combining and analytics should use Striim. For businesses that need high-throughput data migration and low-latency processing, it is especially helpful.

25. Syncari

Any data source can be connected to Syncari, which then combines and changes cross-system data to maintain all systems in sync.

Top Features

For consistency and simpler data utilization, standardize data layout.
Run data recognition, correction, and standardization automatically.
Integrates FiveTran's ELT capabilities with Census' "reverse ETL" capabilities in a single comprehensive platform to truly ease end-to-end integration.
Reliable, multi-directional continuous syncing with all of your devices
Extensible to your preferred business Analytics tool.

Pros

It enables the integration of data from various sources.
If you have numerous CRMs, it automatically organizes and matches the data between them.
It can also link to external sources such as Google Docs, databases, and so on.

Cons

The setup procedure can be time-consuming.
Imitated Integration/Synapse Library.
When importing larger-sized data or files, the processing pace of this program slows.

Pricing

Syncari also offers a free tryout period.

Starting at $2,995.00 is the starter pack.
Starting at $4,995.00 is the Expansion Pack.
Get in touch with the sales staff about the Enterprise pack.

Who is Syncari best suited for?

It is best suitable for businesses seeking painless client data processing for sales teams. A tool that unifies and synchronizes data across the complete app ecosystem without IT complications or costly bespoke connections.

26. Weld

Weld enables you to build and maintain data models. Smart autocomplete, code folding and error highlighting, audit records and version control, teamwork, and version control are just a few of the features that make it simple to build your data models.

Top Features

Collaboration, version management, and intelligent autocomplete.
Maps model properties to your sync destination properties based on syntax.
You can see when and by whom the query was last changed using audit records.

Pros

Linking, collecting, modeling, and activating your company data is incredibly simple.
A low-cost and efficient data synchronization tool.
The tool is simple to use.

Cons

There are still some critical API connections to be established.
It can be a little difficult to maintain track of how projects are coordinated.

Pricing

The pricing plan starts from €750 per month.

Who is Weld best suited for?

Businesses looking for powerful reporting and data interaction out of the box should use it. No programmers are required to consolidate, visualize, and activate all of your customer data in SaaS tools.

Frequently Asked Questions (FAQ)

What Are the Main Types of Reverse ETL Tools?

There are five types of Reverse ETL tools: standalone, custom-built, IPaaS, native, and middleware.

1) Standalone Reverse ETL tools

These are purpose-built tools for extracting data from a data warehouse or data lake and pushing it to operational systems. They are frequently supplied with pre-built connections to common operating systems and are intended to be simple to use.

2) Custom-built Reverse ETL solutions

In some circumstances, businesses may create their reverse ETL solutions by combining bespoke code and third-party technologies. These solutions may be well-suited to the firm's needs, but they can also be time-consuming and expensive to develop and manage.

3) Integration Platform as a Service (iPaaS)

iPaaS solutions are cloud-based platforms offering various integration features, including reverse ETL. They are frequently supplied with pre-built connectors to common operating systems and are intended to be simple to use and maintain.

4) Native Reverse ETL tools

Several vendors of data warehouses or data lakes provide their reverse ETL tools. These technologies are tightly linked with the provider's infrastructure and are intended to function with their data storage solutions easily.

5) Middleware systems

As part of their overall data integration capabilities, certain middleware platforms include reverse ETL capability. These solutions are designed to link several systems and allow data to flow across them, making them ideal for reverse ETL use cases.

What Are the Benefits of Reverse ETL?

Reverse ETL provides several key benefits and advantages for working with your data.

Increase data quality: Reverse ETL can assist you in maintaining data integrity across all your systems. By returning data to operational methods, you can ensure that everyone is working from the same set of data, reducing mistakes and improving analytical accuracy.
Simplify data management: By centralizing your data in a data warehouse or data lake and then transform the data back into operational systems, you can combine your data management operations. This can help to simplify your processes and reduce the intricacy of your data management operations.
Reduce data spending: Savings on data management tools and infrastructure can be realized by combining your data management activities. Furthermore, by assuring data integrity across all of your systems, you can reduce the possibility of errors and save money on data-related problems.
Improve operational agility: By feeding data back to operational systems, you can make changes to your data and analytics workflows faster and more readily. This allows you to respond to market shifts or increase customer lifetime value with more accurate, actionable data sets.

What Is the Difference Between ETL and Reverse ETL?

The direction of data transfer is the primary distinction between ETL and reverse ETL workflows.

ETL is the process of transferring data from operational systems like databases and CRM platforms to a data warehouse or data lake for further analysis and reporting.
Reverse ETL entails transporting data from a data warehouse or data lake back to operational systems.

Reverse ETL operations convert data from a data warehouse into a format suitable for the target destination. This procedure ensures that operational systems have access to the most up-to-date data for making real-time decisions.

What Are Common Use Cases of Reverse ETL?

In the context of a modern data stack, data-driven decision-making, and cloud data warehouses, reverse ETL is a potent instrument that can be used in a variety of use cases.

Here are popular scenarios where reverse ETL can be beneficial:

Customer Experience Reverse ETL can be used to consolidate customer data from multiple sources into a single perspective, allowing companies to better understand their clients and offer more tailored services.
Making Decisions By combining data from various sources into a singular data warehouse using reverse ETL, companies can make data-driven decisions based on the most recent information.
Cloud Data Warehouse Companies can benefit from the flexibility and affordability of cloud computing by using reverse ETL to transfer data into a cloud data warehouse, such as Amazon Redshift, Google BigQuery, or Snowflake.
Modern Data Stack Reverse ETL can be used as a component of a modern data stack, which usually consists of a range of data sources, data warehouses, and analytics tools. This enables companies to create a thorough data architecture that meets their requirements.
Automated ETL Pipeline By utilizing reverse ETL, organizations can create an automated ETL pipeline that automates the transfer of data from analytics tools back to working systems.
ETL Process Organizations can build a thorough data infrastructure that supports both data input and data extraction by combining reverse ETL with conventional ETL processes.