Head-to-head · Database Testing Tools
Great Expectations vs QuerySurge
Great Expectations leads on 1 check, QuerySurge on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreGreat Expectations · 9.1/10
- Free planonly Great Expectations
Great Expectations scores higher on our rubric for database testing tools: 9.1 against 8.7 out of 10; our editors rank them #2 and #4.
Great Expectations offers free plan; QuerySurge doesn't.
Great Expectations is the better fit for teams wanting open-source data-quality testing. QuerySurge is the better fit for large enterprises needing packaged data validation.
- Great Expectations fits best
Teams wanting open-source data-quality testing
- QuerySurge fits best
Large enterprises needing packaged data validation
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Side by side
| Feature | Great Expectations 9.1/10 Visit ↗ | QuerySurge 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.7 |
| Ranking | #2 in Database Testing Tools | #4 in Database Testing Tools |
| Best for | Teams wanting open-source data-quality testing | Large enterprises needing packaged data validation |
| Pricing model | Free plan + paid | Paid |
| Starting price | — | $514/user/yr |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web, macOS, Linux | Web, Windows, Linux |
| Support | Community, Docs | Email, Phone, Tickets, Community, Docs · 24/7 |
| Compliance | SOC 2, HIPAA | SSO/SAML |
| Integrations | 20 integrations | 200+ integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Great Expectations 2/3 · QuerySurge 2/3 | ||
| Schema migration tests | ✓ | ✓ |
| Stored procedure tests | Not checked yet | Not checked yet |
| Data quality checks | ✓ | ✓ |
| Specs | ||
| Database support | AlloyDB, Amazon Aurora PostgreSQL, Citus, Databricks SQL, Microsoft SQL Server, Neon, Oracle, PostgreSQL, Redshift, Snowflake, SQLite, Trino | Access, Azure Analysis Services, Azure Synapse, Btrieve, DB2, EnterpriseDB, Exasol, Greenplum, Impala, IMS, Informix, MariaDB, MySQL, Nonstop SQL, Oracle, PostgreSQL, SAP Business One, SAP HANA, SQL Server, SingleStore, Sybase, Sybase IQ, Teradata, xBase |
| Test execution | Both | Both |
| Test language | Python, SQL, Spark SQL | SQL, HQL |
| Our review | ||
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| Our verdict | Great Expectations is an open-source Python framework for defining declarative data-quality Expectations and validating data batches. It is designed for data engineering, analytics, and data science teams that need repeatable checks across… Read the review → |
QuerySurge is a commercial data validation and ETL testing platform from Real-Time Technology Solutions, Inc. It is designed for enterprise data teams and QA organizations validating migrations, transformations, analytics pipelines, and… Read the review → |
Strengths and trade-offs
Great Expectations — where it wins
- Free open-source core with Python, SQL, and Spark SQL support
- Schema checks, batch validation, Data Docs, and custom SQL Expectations
- GX Cloud adds web UI, API, RBAC, and hosted deployment options
Where it doesn't
- GX Cloud paid tiers use custom data-asset limits
- The Developer plan supports up to 3 users
- Its configuration depth may exceed the needs of simple checks
QuerySurge — where it wins
- Source-to-target, BI, migration, and business-rule validation
- SQL, HQL, and no-code test authoring with scheduled execution
- Broad database coverage plus REST API and webhook integrations
Where it doesn't
- No permanent free plan
- Annual Full User subscription costs $6,006 per user
- Perpetual floating licenses require concurrent-seat planning
- Great Expectations9.1/10 · Free plan
A flexible choice for repeatable database and pipeline validation.
Visit siteFull verdict → - QuerySurge8.7/10 · Paid
A broad enterprise data-testing suite with substantial licensing costs.
Visit QuerySurgeFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





