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Airbyte vs Fivetran

Fivetran is the managed default that bills by rows changed; Airbyte is open source with far more connectors and more of the work left to you.

Side by side

Airbyte Fivetran
Vendor Airbyte, Inc. Fivetran, Inc.
Pricing model Usage-based Usage-based
Free tier Yes Yes
Deployment Cloud, Self-hosted Cloud
Open source Yes (MIT) No
Best for Teams wanting an open-source ELT platform they can self-host for data control, or run as managed cloud, with a broad long-tail connector catalog. Data teams who want a fully managed, low-maintenance ELT pipeline into a cloud warehouse without operating infrastructure.
Pricing

Airbyte Core is free and open source to self-host; Airbyte Cloud bills by credits consumed, with a 30-day trial and several volume-based and capacity-based plans.

Standard From $20/month
Plus From $189/month for 40 credits
Pro Capacity-based, contact sales
Enterprise Flex Capacity-based, contact sales

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Consumption-based pricing billed in Monthly Active Rows (MAR) for connectors/activations and Monthly Model Runs for transformations, with a free tier and three paid plans.

Free $0/month
Standard Usage-based, $5/month minimum per connection (1–1M MAR)
Enterprise Usage-based, contact for rates
Business Critical Usage-based, contact for rates

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • 600+ pre-built and community connectors
  • Low-code and no-code Connector Builder
  • Log-based CDC for major databases
  • PyAirbyte for programmatic pipelines
  • Self-hostable on Docker or Kubernetes
  • dbt-based post-load transformations
  • Credit-based usage billing on Cloud
  • 700+ prebuilt, managed connectors
  • Automated schema drift handling
  • Log-based change data capture for databases
  • dbt Core/dbt Cloud-based transformations
  • Column-level hashing and blocking for sensitive fields
  • Column- and table-level lineage
  • REST API for programmatic management
  • Annual contract discounts up to 22%

Verdict

Both move data from your sources into the warehouse so that dbt or an equivalent can transform it there — the ELT pattern. The difference is who carries the maintenance and how the bill grows.

Fivetran is the managed option: connectors it builds and fixes, schema changes handled, very little for you to run. When a source API changes, that is Fivetran's problem. You pay for that in monthly active rows, a unit that is famously hard to forecast, because a single upstream job that touches every row can turn a quiet month into an expensive one.

Airbyte is open source with a much larger connector catalogue, because anyone can contribute one. That is its strength and its catch: the long tail varies in quality and may be maintained by whoever needed it last. Self-host it and the cost is infrastructure plus your team's time; take Airbyte Cloud and you are buying back the operations while keeping the catalogue.

Choose Fivetran if

  • Your sources are mainstream (Salesforce, NetSuite, Postgres, the big ad platforms) and reliability matters more than cost.
  • You have no one to own a data pipeline when it breaks at 2am.
  • You would rather spend engineering time on modelling than on connectors.

Choose Airbyte if

  • You need a source Fivetran does not cover, or you want to write your own connector.
  • Data must stay inside your own infrastructure.
  • Your volumes are large enough that per-row pricing hurts, and you have someone to run it.

What to check before deciding

Take your three most important sources and your largest table, and run both for a full month. Watch three things: whether an upstream schema change breaks the sync silently, what a backfill costs, and how each behaves when a source is briefly unavailable. Also decide how you will detect a sync that succeeded but delivered stale or incomplete data — neither tool removes the need for data observability, and the failure that hurts is the one nobody notices.

Last reviewed September 21, 2026

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