Fivetran vs. Airbyte Comparison: 2022 Deep-Dive

CEO, Portable

Fivetran vs. Airbyte: Which Is The Right Tool for You?

In 2022, data engineers are automating common data pipelines by using ETL tools to replicate data from disparate business applications into their cloud data warehouse for analytics.

With more data sources than ever, you've likely already encountered two of the leading ETL solutions -- Fivetran and Airbyte.

In this comparison, we'll walk you through the pros and cons of the two platforms. We'll outline the functionality and the pricing models for each platform and even offer a simple framework to understand when to use each platform for data management.

Do You Really Need A Data Integration Tool?

The two most common use cases for data integration tools are 1) analytics, and 2) automation.

Data integration solutions make it simple to extract data from APIs, databases, and files to then load the data into your data warehouse for business intelligence.

When using data for analytics use cases, data engineers leverage an ETL tool to load data from SaaS applications into Snowflake, Google BigQuery, Amazon Redshift, PostgreSQL or SQL Server. From there, teams can build dashboards for better corporate decision making.

On the other hand, automation use cases involve replacing manual tasks with real-time, automated workflows that sync data from one data source to another business application in a low-code or no-code manner.

If you're reading this guide, you have likely already identified a use case for data, and now you're wondering - How do I get data integrated from my business applications into my data warehouse or data lake for analytics?

There are few solutions as well known as Fivetran or Airbyte for easy-to-use no-code connectors.

Who Can Benefit From No-Code Data Ingestion?

The short answer? Every business intelligence team.

Historically, ETL was difficult. You would need to hire data engineers, write code, and deploy a solution on-premises. Only then, could your team centralize the various data sources from across your enterprise into an analytics environment. There were early data integration platforms like Talend and Informatica that helped, but they weren't intuitive, had to be deployed on-premises, and the pricing was entirely tailored to enterprises.

In 2022, things have changed. No-code and low-code ETL and ELT tools make it simple to orchestrate workflows that move data from APIs, SaaS applications, databases, and files to your cloud data warehouse with minimal overhead. Instead of spending countless hours writing code, data teams can now use pre-built connectors to extract and load data for analytics and automation.

It doesn't matter if you're a small business building dashboards, or a large enterprise working with big data, navigating HIPAA, implementing data governance best practices, and training machine learning models. Everything starts with finding a simple way to ETL data into your data warehouse or data lake.

So, how does your data team benefit from an ETL tool?

You save the headaches and pain of building your own data pipelines (goodbye python, hello SQL), and instead, tap into pre-built connectors to extract data from hundreds of sources across your enterprise.

Data from collaboration tools (Microsoft 365, Asana, ClickUp), CRM systems (Salesforce, HubSpot), ERP platforms (NetSuite, Oracle), and email service providers (MailChimp, ActiveCampaign) can all be centralized without writing a single line of code.

Does your team love to code?

Great! Spend your time writing SQL, building dashboards, running machine learning models, and implementing best-in-class data governance frameworks. With ETL tools, you can free up your team to build data products instead of re-inventing the same data pipeline that every other business intelligence team is already leveraging.

How Does An ETL Solution Help?

ETL platforms like Fivetran and Airbyte help business intelligence teams in three ways:

  1. Self-service data extraction. With hundreds of pre-built data connectors to common SaaS applications and databases, both platforms make data replication simple.
  2. Ready-to-query schemas for orchestration and data transformation. By syncing data into the warehouse, no-code solutions can be integrated with open source orchestration and transformation tools like Airflow and DBT to build data models, execute DAGs, and orchestrate complex pipelines.
  3. Low maintenance data pipelines. Leveraging an out-of-the-box solution allows your data engineers to analyze data without having to worry about rate limits, errors, hardware failures, and scaling issues. Vendors like Fivetran and Airbyte offer a simple, low maintenance solution.

Now, let's first dig deeper into Fivetran.

Fivetran: Deep-Dive Summary: Pros and Cons

Fivetran was founded in 2012 as an ELT tool for hyper-growth companies.

A Fivetran subscription includes several capabilities, including:

  1. 160+ data source connectors
  2. Change data capture support for databases
  3. Support for data warehouses and data lakes as destinations
  4. Pricing based on Monthly Active Rows
  5. Warehouse-native data transformation
  6. Professional services for enterprise use cases

Fivetran: Pros

Fivetran has a strong reputation for maintenance and support for databases (change data capture) and the largest business applications. When teams get started, they can't go wrong with Fivetran for scalable data pipelines.

Supporting a native integration with DBT, Fivetran can help turn raw data into insights with native transformation. For connectors that have complex data models, these off-the-shelf queries can save analytics teams significant work.

Support for enterprise data sources. Oracle, SAP, and Workday are a core focus of Fivetran's business model as they expand into enterprise clients. These connectors are extremely complicated and are difficult to find reliable solutions elsewhere. Fivetran spent $700m to acquire HVR to deepen these capabilities.

Fivetran: Cons

Cost is a big downside of the Fivetran platform. With pricing based on Monthly Active Rows, it's easy to end up in a scenario where a data source syncing large data volumes can cost a significant amount of money.

Not only are prices high, but they are very difficult to predict and forecast, adding additional stress to data teams, and additional scrutiny from finance stakeholders.

Fivetran takes months or years to build new connectors. And in many scenarios, they do not plan to build connectors at all. In a scenario where you need a connector and Fivetran doesn't support it out-of-the-box, you aren't offered great options. Fivetran asks clients to script their own solutions using cloud functions. (By the way, this is a common scenario where clients reach out to Portable for help).

Airbyte: Deep-Dive Summary: Pros and Cons

Airbyte was founded in 2020 as an open-source ELT tool for the modern data stack.

An Airbyte subscription includes several capabilities, including:

  1. 170+ data source connectors
  2. Open source for direct access to code
  3. Change data capture support for databases
  4. Support for data warehouses and data lakes as destinations
  5. Credit based pricing model
  6. Warehouse-native data transformation

Airbyte: Pros

Airbyte offers an open-source platform for data integration. Unlike many other ELT vendors, clients can either use Airbyte Cloud (a SaaS solution) or an open-source version of Airbyte deployed on its own.

The platform is tailored to engineers. As an engineering team, if you want to build your own data integrations, Airbyte offers a CDK to accelerate development vs. writing code from scratch.

For destinations, Airbyte supports over 20 destinations. When you need information loaded into a bespoke platform, Airbyte can be a great solution when other ELT tools don't support your destination.

Airbyte: Cons

For long-tail integrations that you build on your own with the Airbyte CDK, your team is on the hook for maintenance, support, and fixing things when they break. Unlike Portable, writing your own integration with Airbyte can lead to ongoing maintenance efforts.

The Airbyte pricing model isn't straightforward. With a credit-based, volume-based consumption model, it can be difficult to predict usage and to mitigate costs as your data volumes increase.

Many of Airbyte's connectors are still currently in alpha, or not yet production-ready. In many scenarios, users can be on the hook for maintenance, flagging issues, and working with the Airbyte team on resolutions.

Now that we've outlined the pros and cons of the two platforms, let's outline Fivetran as an Airbyte alternative, and Airbyte as a Fivetran alternative.

Fivetran vs. Airbyte - Feature Comparison

It is important to dig into the true capabilities of the platforms we are considering. Let's dive into the features, functionality and pricing of the two platforms.

Pre-Built Source Connectors

One of the most important criteria for selecting an ETL tool is whether or not the product supports the data sources you need.

Most vendors don't build many new data sources each year, so when you consider the offering, you're really purchasing access to the connectors they already have in their catalog. Breadth of connectors is a strong proxy for a vendor's ability to help your analytics team centralize data.

Fivetran's connector catalog is just over 160 data sources.

These connectors are typically the largest databases, file-based sources, and business applications that are helpful when your team is first standing up your data stack.

Airbyte's open source product includes 170+ data sources.

The cloud offering is newer and has some restrictions on what sources can be leveraged within the product; however, it's reasonable to expect that all 170+ would be available in the cloud product shortly.

Custom Connector Development

When your team needs a new connector, you NEED the connector.

It's important to understand how both data integration platforms will help in these scenarios. Do they ask you to write code? To maintain the connector? To fix things when they break?

For custom connectors, Fivetran asks clients to use cloud functions to build their own connectors and maintain them when things break.

As part of the development process, users need to read API documentation, deploy a serverless cloud function, make sure things work, and then maintain the cloud function if things ever break. This can be a significant amount of work, and is a common scenario when data teams take a look at the Portable connector catalog for another approach.

Airbyte is open source, so engineers can develop their own custom integrations.

In these scenarios, developers still need to read the source documentation, learn the Airbyte protocol / CDK framework, and set up the integration. For custom connectors, the user that built the connectors has to maintain their own connector and troubleshoot issues as they arise.

Maintenance & Support

Data integrations are living, breathing organisms. They evolve, they break, and they cause chaos with your queries and dashboards when they do.

It's critical to understand how both ETL vendors will support you when things go wrong, and what functionality each platform has in place for alerting, monitoring, and connector maintenance.

Fivetran offers a ticketing system for clients to flag issues when things go wrong.

Because Fivetran has a large client base, issues are typically picked up quickly, but support can feel impersonal at times.

Airbyte has over 12,000 users of the open source product, so users are asked to leverage the documentation, community Slack and Discourse communities to troubleshoot issues.

Pricing & Plans

Finally, let’s compare the pricing of Fivetran vs. Airbyte. There are both similarities and differences to be aware of.

Fivetran charges on Monthly Active Rows for data pipelines.

  1. You can try out the Fivetran platform for free for 14 days
  2. Monthly Active Rows can be cost effective at low volumes, but very expensive at high volumes
  3. It can be difficult to understand, forecast and predict pricing with Monthly Active Rows

Airbyte has a credit based pricing model.

  1. Pricing increases with data volumes
  2. Credits must be purchased before consumption; however the company offers initial free credits when an account is opened
  3. Airbyte's open source product is a free alternative for engineers that want to manage infrastructure on their own

Now that we've outlined what each brand offers, let's quickly recap the takeaways.

Fivetran vs. Airbyte: You Decide

Choosing an ETL solution is an important decision that you need to make based on your own specific needs.

We've outlined the pros and cons of both Fivetran and Airbyte to help frame out the scenarios in which each solution makes sense.

At Portable we focus our efforts on a customer-first culture, a try-before-you-buy business model, and hands on support when things go wrong.

There's no downside to exploring our connector catalog, or even requesting the connector that's at the top of your backlog.

Portable is the first ELT platform to build connectors on-demand for data teams. We believe companies should have data from every business application at their fingertips - all with no code. We have more no-code ELT connectors than both Fivetran and Airbyte (250+ and counting).

Want to learn more? Book time for a discussion or a demo directly on my calendar