QuerySurge vs Apache Griffin

QuerySurge9.2Visit AGApache Griffin7.3Visit

Higher score QuerySurge #1 in ETL Testing Tools 9.2/10 From $514/user ✓ 4 of 4 features Visit QuerySurge

vs

AG Apache Griffin #8 in ETL Testing Tools 7.3/10 Free (open source) Free plan✓ 1 of 4 features Visit Apache Griffin

• QuerySurge fits best

  Enterprises validating data warehouses, big data, and BI reports at scale

• 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	QuerySurge 9.2/10 Visit ↗	AGApache Griffin 7.3/10 Visit ↗
At a glance
Editor score	9.2	7.3
Ranking	#1 in ETL Testing Tools	#8 in ETL Testing Tools
Best for	Enterprises validating data warehouses, big data, and BI reports at scale	Big-data teams on Spark/Hadoop who want validation with zero license cost
Pricing model	Paid	Free
Starting price	From $514/user	Free (open source)
Free plan	—	✓ (best)
Free trial	—	—
Features QuerySurge 4/4 · Apache Griffin 1/4
Source-to-target reconciliation	✓	✓
No-code test authoring	✓ (best)	—
CI/CD integration	✓ (best)	—
API access	✓ (best)	—
Specs
Deployment model	Hybrid	Self-hosted
Our review
Pros	Connects to a very wide range of databases, flat files, XML/JSON, and BI tools from one console Smart Query Wizard builds comparison tests without hand-written SQL for most common checks Mature scheduling and CI/CD hooks (Jenkins, Bamboo, and REST triggers) for nightly regression runs	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	List pricing isn't published, so budgeting means a sales conversation up front The breadth of connectors and settings takes real onboarding time for a first project Report/BI-layer testing is a separate module from core data comparison, which adds setup steps	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	QuerySurge is the tool we'd point a data warehouse or BI team to first when "did the ETL load break something" needs a real answer, not a spot check. It runs source-to-target comparisons across a long list of databases, flat files, and… 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 →

Strengths and trade-offs

• QuerySurge — where it wins

  • Connects to a very wide range of databases, flat files, XML/JSON, and BI tools from one console
  • Smart Query Wizard builds comparison tests without hand-written SQL for most common checks
  • Mature scheduling and CI/CD hooks (Jenkins, Bamboo, and REST triggers) for nightly regression runs

  Where it doesn't

  • List pricing isn't published, so budgeting means a sales conversation up front
  • The breadth of connectors and settings takes real onboarding time for a first project
  • Report/BI-layer testing is a separate module from core data comparison, which adds setup steps

• 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

• QuerySurge9.2/10 · From $514/user

  The most widely deployed dedicated ETL test automation platform for large, mixed data estates.

  Visit QuerySurgeFull verdict →
• AGApache 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 →