All ETL tool comparison

Airbyte vs. Fivetran

Airbyte is an open-source data integration / ETL alternative to Fivetran. Compare data sources and destinations, features, pricing and more. Understand their differences and pros / cons.

Check the comparison spreadsheet

About the services

About Airbyte

Airbyte is the leading open-source ELT tool, created in July 2020. As of September 2021, they have built over 120 data connectors, and have 5,000 companies using them to sync data. Their ambition is to commoditize data integration by addressing the long tail of connectors through their growing contributor community. Airbyte released a Cloud offer in October 2021 with an infrastructure-type pricing model.

About Fivetran

Fivetran is a closed-source, managed ELT service that was created in 2012. As of September 2021, they have built 150 data connectors and have over 2,000 customers. They are considered a reliable choice and have a large customer base. Fivetran charges on monthly active rows (in other words, the number of rows that have been edited or added in a given month).



ELT as a first step.
Reverse-ETL coming in 2022.

Data ingestion, ELT.


More than 120, one year from inception.
Goal is 200 by end of 2021.

More than 150.


All data warehouses, lakes and databases.

All main warehouses and databases.

Customizability of connectors

User can edit any pre-built connectors and build new ones within 2 hours with Airbyte’s Connector Development Kit.

Limited through Fivetran’s Cloud functions.

Database replication

Full table and incremental via change data capture.

Pricing adapted for this use case.

Full table and incremental via change data capture.

Pricing is indexed on rows. 

Integration with data stack

Integrate deeply with Kubernetes, Airflow and dbt. 

Airbyte will soon integrate with Prefect, Dagster, Great Expectations, and more. Integrations can be contributed by the community.

Supports dbt transformations. 

Support SLAs



Security certifications



Vendor lock-in

Airbyte Core and Connectors are open source.

Annual contracts. 

Purchase process

Self-service for Airbyte Cloud.

Open-source edition deployable in minutes.

Requires conversations with sales.


Infrastructure pricing based on compute time and egress cost. Credits are rolled over. 

Volume-based pricing with MARs (monthly active rows). 

Credits are not rolled over. 


Available through Airbyte Cloud and Airbyte’s open-source edition. 

Available through Powered by Fivetran.



Pre-built connectors are the primary way to differentiate ETL / ELT solutions, as they enable data teams to focus only on the insights to build


Within 14 months from inception, Airbyte already offers connectors for more than 120 data sources, and all major data warehouses, lakes and databases as data destinations. 

All Airbyte connectors are open sourced and can be edited to address any custom needs the customers have. Airbyte users can leverage these connectors through the open-source edition or the Cloud offer. 

Airbyte’s Connector Development Kit also enables their users to build custom connectors in a standardized way within 2 hours (instead of 2 days), and the Airbyte team and community can help in their maintenance. 

About 30% of the connectors have been contributed by the growing community. Airbyte will provide a SLA for the certified connectors, but Airbyte’s ambition is also to provide a SLA for other connectors through the community and its participative model on the long tail of connectors, and to reach 1,000+ connectors in the next few years. 

Airbyte will offer reverse-ETL connectors in 2022. 


Fivetran offers connectors for more than 150 data sources. It supports the major data warehouses and databases as destinations. However, Fivetran doesn’t support any data lakes.

Customers can pay extra and request that Fivetran build a new data source, but no one outside the Fivetran team can build new data sources or make improvements to existing sources. 

Fivetran’s customers often end up having to build and maintain custom connectors in-house with their own data engineering teams to address all their custom needs.



Airbyte is an ELT tool, and does not transform data prior to loading. Airbyte offers two options to get your data out of the box: a serialized JSON object and the normalized version of the record as tables. 

Airbyte also offers custom transformations via SQL and through deep integration with dbt, allowing their users and customers to trigger their own dbt packages at the destination level right after the EL. 


Fivetran is an ELT tool, and does not transform data prior to loading, either. It offers its own opinionated normalization out of the box, and recently added support for post-load transformations via copy-and-paste SQL and dbt.


Every company has custom data architectures and, therefore, unique data integration needs. A lot of tools don’t enable teams to address those, which results in a lot of investment in building and maintaining additional in-house scripts.


Airbyte’s architecture modularity implies that you can leverage any part of Airbyte. For instance, you can use Airflow’s orchestrator to trigger Airbyte’s ELT jobs. 

You can also edit any pre-built connectors to your own specific needs, or even leverage the Connector Development Kit to build your own custom connectors in a matter of hours (instead of days) and have its maintenance shared with the community and the Airbyte team. 

Airbyte’s promise is to address all your ELT needs and the long tail of integrations.


Fivetran released cloud functions to let their customers edit connectors by writing small function to fetch data using Go, Java, Node.js, Python, C# or F#. Customers will need to host their functions on a serverless platform.

Support & docs

Data integration tools can be complex, so customers need to have great support channels. This includes online documentation as well as tutorials, email and chat support. More complicated tools may also offer training services.


Airbyte provides in-app chat support with an average time to respond of 1 hour. 

Their documentation is comprehensive and full of tutorials. Airbyte also has a Slack and Discourse community where help is available from the Airbyte team, other users or contributors. 

Airbyte does not provide any training services. 


Fivetran provides support through an in-app form, but does not offer chat support.

Their documentation is comprehensive, but Fivetran doesn’t offer a Slack or Discourse community. 

Fivetran does not provide any training services. 



Airbyte provides a one-month free trial or $400 worth of credits, whichever expires first. Airbyte’s pricing is credit-based, and you consume credits based on compute time and, to a lesser extent, egress costs. Airbyte positions itself as a self-service infrastructure company. 

This pricing structure adapts well to all use cases, including database replication. 

Airbyte doesn’t charge for failed syncs or normalization. 

Airbyte offers adapted pricing to customers with large volumes. 


Fivetran provides a 14-day free trial. It discloses a pricing based on monthly active rows, i.e., rows that are added or edited in a given month. 

Fivetran’s volume-based pricing doesn’t adapt well with database replication use cases that involve the replication of millions of rows. 

Don't trust our word, trust theirs!

"The cool thing with Airbyte is that there is this neutrality. With Airbyte there’s a push to do things outside of the warehouse. Fivetran and Stitch have a warehouse centric mentality."
Vivek Ayer
Data Infrastructure at Skupos Inc.
"Airbyte is a very promising solution for the single point of data integration. We continuously migrate our connectors from our existing solution to Airbyte as they became available on Airbyte, and look forward to the release of Airbyte Cloud!"
Apostol Tegko
Data Analyst at Fnatic
“I was blown away by how easy it was to get started with Airbyte. My developers are not proficient about data systems but were able to adapt a Singer tap for a missing integration in 25 mins. Because Airbyte is so simple to use, I was able to avoid a planned data engineer hire.​”
Jins Kadwood
CTO at AgriDigital

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