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Fivetran vs Matillion

Fivetran is a managed connector service with transformation left to dbt; Matillion is a visual pipeline builder that pushes transformation into your warehouse.

Side by side

Fivetran Matillion
Vendor Fivetran, Inc. Matillion
Pricing model Usage-based Quote only
Free tier Yes No
Deployment Cloud Cloud
Open source No No
Best for Data teams who want a fully managed, low-maintenance ELT pipeline into a cloud warehouse without operating infrastructure. Analytics engineering teams wanting a visual, low-code ELT builder with warehouse-native transformation.
Pricing

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.

Consumption-based credit system tied to pipeline task hours and developer seats; only the entry Developer tier's trial is self-serve, the rest require a sales quote.

Developer Free trial
Teams Contact sales
Scale Contact sales

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

Features
  • 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%
  • Low-code drag-and-drop pipeline canvas
  • Push-down transformation execution in the warehouse
  • Built-in Git version control
  • SQL and Python scripting components
  • Native dbt Core integration
  • Streaming change data capture (Scale tier)
  • Cross-cloud support for Snowflake, Databricks, BigQuery, Redshift

Verdict

Both move data into a cloud warehouse, but they solve different parts of the job. Fivetran is a fully managed ELT service — connect a source and a destination, and Fivetran handles extraction, schema drift and incremental loading automatically, with transformation handed off to dbt Core or dbt Cloud after loading. Matillion is a browser-based, low-code environment built around a drag-and-drop pipeline canvas, where transformation SQL is pushed down to run inside the destination warehouse itself (Snowflake, Databricks, BigQuery or Redshift) rather than left entirely to a separate tool.

Choose Fivetran if

  • You want the broadest managed connector catalog (700+) and the least operational involvement in keeping connectors working.
  • You're comfortable with dbt as your transformation layer and don't need a visual pipeline canvas.
  • Predictable, metered pricing on Monthly Active Rows fits your usage pattern better than a quote-based consumption model.

Choose Matillion if

  • You want visual control over transformation logic alongside extraction, not just extraction with transformation handled elsewhere.
  • Your team wants pipelines under Git version control through Matillion's built-in repository integration.
  • You need streaming change data capture as part of the same platform, available on Matillion's higher tier.

What they share

Both integrate natively with dbt Core, both support the major cloud warehouses, and both list the other as a direct alternative. Neither offers a self-hosted deployment — both are cloud-only services, so data residency requirements that demand on-premises infrastructure rule out either one.

The honest caveat

Fivetran publishes real self-serve pricing with a free tier; Matillion's pricing is consumption-based but mostly quote-only beyond a free Developer trial. If cost transparency during evaluation matters, that's a genuine difference in buying experience, not just a footnote — get a Matillion quote early rather than assuming pricing will be comparable to Fivetran's published rates.

Last reviewed September 22, 2026

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