Apache Griffin
Apache Griffin: A no-cost, self-hosted option for teams already running Spark who want data quality checks in the same stack. Ranked #8 of 8 in ETL Testing Tools by our editors (7.3/10); pricing: Free (open source); best for big-data teams on Spark/Hadoop who want validation with zero license cost.
At a glance
- Editor score7.3 / 10
- PricingFree (open source)
- Best forBig-data teams on Spark/Hadoop who want validation with zero license cost
- Free planYes
- Paid fromFree
- Source-to-target reconciliationYes
- Facts checked11 Nov 2026
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
Our verdict on Apache Griffin
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 measures quality across both batch and streaming jobs, which fits teams whose pipelines aren't purely one or the other.
Being a fully open-source Apache project, there's no license fee and no sales process — but there's also no support line to call when something breaks. Troubleshooting runs through community documentation and mailing lists, which is a real tradeoff against the commercial tools on this list that bundle support into the price.
We'd recommend this specifically to teams with in-house Spark expertise who want validation under their own control. Teams without that expertise already in-house will likely spend more in engineering time than they'd save in license cost.
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Apache Griffin pricing
Apache Griffin fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Source-to-target reconciliation | Yes |
| No-code test authoring | No |
| CI/CD integration | No |
| Deployment model | Self-hosted |
| API access | No |
| Pricing | Free (open source) |
| Website | griffin.apache.org |
| Facts checked | 11 Nov 2026 |
Alternatives to Apache Griffin
- QuerySurgeThe most widely deployed dedicated ETL test automation platform for large, mixed data estates.9.2
- Datagaps ETL ValidatorA low-code validator that leans on AI to suggest and self-heal comparison rules across a huge connector list.9.0
- RightDataPositions ETL validation as one piece of a broader data quality and governance platform.8.7
See all Apache Griffin alternatives →
Apache Griffin vs the competition
- Apache Griffin vs QuerySurge
- Apache Griffin vs Datagaps ETL Validator
- Apache Griffin vs RightData
- Apache Griffin vs BiG EVAL
- Apache Griffin vs Informatica Data Validation
- Apache Griffin vs dbt Cloud
Compare Apache Griffin with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
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