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Head-to-head · ETL Testing Tools

BiG EVAL vs Apache Griffin

  • Updated Nov 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score BiG EVAL #4 in ETL Testing Tools 8.4/10 From $89/mo · 14-day free trial ✓ 3 of 4 features Visit BiG EVAL
Apache Griffin #8 in ETL Testing Tools 7.3/10 Free (open source) Free plan✓ 1 of 4 features Visit Apache Griffin

BiG EVAL 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 scoreBiG EVAL · 8.4/10
  • Free planonly Apache Griffin
  • Most featuresBiG EVAL · 3 of 4

BiG EVAL scores higher on our rubric for etl testing tools: 8.4 against 7.3 out of 10; our editors rank them #4 and #8.

Apache Griffin offers free plan; BiG EVAL doesn't. BiG EVAL offers ci/cd integration; Apache Griffin doesn't. On deployment model, BiG EVAL gives you Hybrid where Apache Griffin offers Self-hosted. BiG EVAL offers api access; Apache Griffin doesn't.

BiG EVAL is the better fit for mid-size teams that want configurable ETL testing without enterprise-tier pricing. Apache Griffin is the better fit for big-data teams on Spark/Hadoop who want validation with zero license cost.

  • BiG EVAL fits best

    Mid-size teams that want configurable ETL testing without enterprise-tier pricing

  • 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 BiG EVAL 8.4/10 Visit ↗ Apache Griffin 7.3/10 Visit ↗
At a glance
Editor score 8.4 7.3
Ranking #4 in ETL Testing Tools #8 in ETL Testing Tools
Best for Mid-size teams that want configurable ETL testing without enterprise-tier pricing Big-data teams on Spark/Hadoop who want validation with zero license cost
Pricing model Paid Free
Starting price $89/mo Free (open source)
Free plan — ✓ (best)
Free trial — —
Features BiG EVAL 3/4 · Apache Griffin 1/4
Source-to-target reconciliation ✓ ✓
No-code test authoring — —
CI/CD integration ✓ (best) —
API access ✓ (best) —
Specs
Deployment model Hybrid Self-hosted
Our review
Pros
  • Published entry price ($89/mo) is rare in this category and makes budgeting simple
  • Framework is built to be customized to a team's own testing conventions rather than one fixed workflow
  • 14-day trial lets a team validate real pipelines before committing
  • 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
  • Smaller public track record than the longer-established enterprise players in this list
  • Customization is a strength but means more setup work than a fully opinionated out-of-the-box tool
  • Less name recognition can mean a harder internal "why this vendor" conversation
  • 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

BiG EVAL's standout feature in a category full of "contact us" pricing is that it actually publishes a number: plans start at $89 a month, with a 14-day trial to test it against a real pipeline first. For a mid-size team trying to get ETL…

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. BiG EVALETL Testing Tools 8.4From $89/mo · 14-day free trial
  2. Apache GriffinETL Testing Tools 7.3Free (open source)

Strengths and trade-offs

  • BiG EVAL — where it wins

    • Published entry price ($89/mo) is rare in this category and makes budgeting simple
    • Framework is built to be customized to a team's own testing conventions rather than one fixed workflow
    • 14-day trial lets a team validate real pipelines before committing

    Where it doesn't

    • Smaller public track record than the longer-established enterprise players in this list
    • Customization is a strength but means more setup work than a fully opinionated out-of-the-box tool
    • Less name recognition can mean a harder internal "why this vendor" conversation

  • 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
  • BiG EVAL8.4/10 · From $89/mo · 14-day free trial

    A flexible ETL testing framework with one of the lowest published entry prices in this category.

    Visit BiG EVALFull 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