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Head-to-head · ETL Testing Tools

dbt Cloud vs Apache Griffin

  • Updated Nov 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score dbt Cloud #6 in ETL Testing Tools 8.0/10 Free tier · Starter from $100/mo Free plan✓ 2 of 4 features Visit dbt Cloud
Apache Griffin #8 in ETL Testing Tools 7.3/10 Free (open source) Free plan✓ 1 of 4 features Visit Apache Griffin

dbt Cloud leads on 2 checks, Apache Griffin on 1, and 2 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoredbt Cloud · 8.0/10
  • Free planboth
  • Most featuresdbt Cloud · 2 of 4

dbt Cloud scores higher on our rubric for etl testing tools: 8.0 against 7.3 out of 10; our editors rank them #6 and #8.

Apache Griffin offers source-to-target reconciliation; dbt Cloud doesn't. dbt Cloud offers ci/cd integration; Apache Griffin doesn't. On deployment model, Apache Griffin gives you Self-hosted where dbt Cloud offers Cloud. dbt Cloud offers api access; Apache Griffin doesn't.

dbt Cloud is the better fit for SQL-first teams already transforming data in the warehouse with dbt. Apache Griffin is the better fit for big-data teams on Spark/Hadoop who want validation with zero license cost.

  • dbt Cloud fits best

    SQL-first teams already transforming data in the warehouse with dbt

  • Apache Griffin fits best

    Big-data teams on Spark/Hadoop who want validation with zero license cost

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature dbt Cloud 8.0/10 Visit ↗ Apache Griffin 7.3/10 Visit ↗
At a glance
Editor score 8.0 7.3
Ranking #6 in ETL Testing Tools #8 in ETL Testing Tools
Best for SQL-first teams already transforming data in the warehouse with dbt Big-data teams on Spark/Hadoop who want validation with zero license cost
Pricing model Free plan + paid Free
Starting price $100/mo Free (open source)
Free plan ✓ ✓
Free trial — —
Features dbt Cloud 2/4 · Apache Griffin 1/4
Source-to-target reconciliation — ✓ (best)
No-code test authoring — —
CI/CD integration ✓ (best) —
API access ✓ (best) —
Specs
Deployment model Cloud Self-hosted
Our review
Pros
  • Tests are version-controlled alongside the models they check, in the same project and pull request
  • Free tier is enough to try real tests on a real project before paying anything
  • Huge community package ecosystem (dbt packages) adds ready-made test macros for common checks
  • No licensing cost at all, under the Apache Software Foundation
  • Built on Spark, so it scales the same way the big-data pipelines it checks already do
  • Supports both batch and streaming data quality measurement
Cons
  • It tests transformations you write in dbt, not a true black-box source-to-target reconciliation across arbitrary systems
  • Row-level and cross-database comparison testing needs extra packages or a companion tool
  • Starter plan pricing is per-seat, which adds up for larger analytics teams
  • No vendor support line; help comes from community docs and mailing lists, not a support contract
  • Setup and ongoing maintenance assume real familiarity with Spark and the Hadoop ecosystem
  • Smaller, slower-moving community than more actively marketed commercial tools on this list
Our verdict

dbt Cloud isn't an ETL testing tool in the "point it at two systems and diff them" sense the rest of this list is — it's a transformation platform where tests are a first-class part of the workflow, declared right next to the SQL model…

Read the review →

Apache Griffin is the choice for a team that's already standardized on Spark for big-data processing and wants data quality and ETL validation to live in that same stack instead of adding a new vendor and a new connector to maintain. It…

Read the review →
  1. dbt CloudETL Testing Tools 8.0Free tier · Starter from $100/mo
  2. Apache GriffinETL Testing Tools 7.3Free (open source)

Strengths and trade-offs

  • dbt Cloud — where it wins

    • Tests are version-controlled alongside the models they check, in the same project and pull request
    • Free tier is enough to try real tests on a real project before paying anything
    • Huge community package ecosystem (dbt packages) adds ready-made test macros for common checks

    Where it doesn't

    • It tests transformations you write in dbt, not a true black-box source-to-target reconciliation across arbitrary systems
    • Row-level and cross-database comparison testing needs extra packages or a companion tool
    • Starter plan pricing is per-seat, which adds up for larger analytics teams

  • Apache Griffin — where it wins

    • No licensing cost at all, under the Apache Software Foundation
    • Built on Spark, so it scales the same way the big-data pipelines it checks already do
    • Supports both batch and streaming data quality measurement

    Where it doesn't

    • No vendor support line; help comes from community docs and mailing lists, not a support contract
    • Setup and ongoing maintenance assume real familiarity with Spark and the Hadoop ecosystem
    • Smaller, slower-moving community than more actively marketed commercial tools on this list
  • dbt Cloud8.0/10 · Free tier · Starter from $100/mo

    Tests live next to the transformation SQL that produces the data, not in a separate tool.

    Visit dbt CloudFull verdict →
  • Apache Griffin7.3/10 · Free (open source)

    A no-cost, self-hosted option for teams already running Spark who want data quality checks in the same stack.

    Visit Apache GriffinFull verdict →

More comparisons

All ETL testing tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update