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Great Expectations

Freemium#2 of 28 in Database Testing ToolsData Preparation for Analytics

Great Expectations: A flexible choice for repeatable database and pipeline validation. Ranked #2 of 28 in Database Testing Tools by our editors (9.1/10); pricing: Free plan; best for teams wanting open-source data-quality testing.

9.1/10Editor score
Great Expectations9.1 Visit site

At a glance

  • Editor score
    9.1 / 10
  • Pricing
    Free plan
  • Best for
    Teams wanting open-source data-quality testing
  • Free plan
    Yes
  • Schema migration tests
    Yes
  • Founded
    2018 · Cottonwood Heights, Utah, United States
  • Facts checked
    21 Sep 2026
Great Expectations screenshot
  • 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

Our verdict on Great Expectations

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 dataframes, files, SQL databases, and distributed data systems. Its scope covers data quality assertions, schema validation, validation results, Data Docs, custom SQL Expectations, and automated actions in pipelines.

The pricing structure separates the free open-source core from GX Cloud. The Developer plan is a free GX Cloud plan with up to 5 data assets under test per month, up to 3 users, and unlimited rows per data asset. The Team plan is a paid GX Cloud plan with custom data-asset limits and up to 10 users. Enterprise adds custom data-asset limits, unlimited users, a 99.5% SLA, and HIPAA BAA availability. GX Cloud also provides user management and collaboration features, while an optional customer-environment Agent deployment supports hosted use with deployment flexibility.

Great Expectations fits teams working across SQL databases, dataframes, files, and distributed data systems, with integrations including BigQuery, Databricks SQL, Microsoft SQL Server, Oracle, PostgreSQL, Redshift, Amazon S3, Azure Blob Storage, and Google Cloud Storage. It supports both Python and SQL-oriented workflows, while automated actions and orchestrator integration help connect validation to recurring pipelines. Choose it when open-source control, schema checks, and documented validation results matter. Teams wanting only a lightweight, narrowly focused database checker may prefer a simpler tool with less configuration and fewer workflow options.

Your product? Our editors can test Great Expectations in depth and publish a review, labelled as paid · from $149/mo →

Great Expectations pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 21 Sep 2026.
See plans on greatexpectations.io

All 3 Great Expectations plans and prices →

Great Expectations fact sheet

Free planYes
Paid fromNot verified
Database supportAlloyDB, Amazon Aurora PostgreSQL, Citus, Databricks SQL, Microsoft SQL Server, Neon, Oracle, PostgreSQL, Redshift, Snowflake, SQLite, Trino
Schema migration testsYes
Stored procedure testsNot verified
Data quality checksYes
Test executionBoth
Test languagePython, SQL, Spark SQL
DeploymentCloud, Self-hosted
PlatformsWeb, macOS, Linux
Compliance & securitySOC 2, HIPAA
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations20 integrations: AlloyDB, Amazon Aurora PostgreSQL, Amazon S3, Azure Blob Storage, BigQuery, Citus …
PricingFree plan (source)
Websitegreatexpectations.io
Facts checked21 Sep 2026

Great Expectations integrations

Great Expectations lists 20 integrations on its own site.

  • AlloyDB
  • Amazon Aurora PostgreSQL
  • Amazon S3
  • Azure Blob Storage
  • BigQuery
  • Citus
  • Databricks SQL
  • Google Cloud Storage
  • Microsoft Fabric
  • Microsoft SQL Server
  • Neon
  • Oracle
  • Pandas
  • PostgreSQL
  • Redshift
  • Snowflake
  • Spark
  • SQLite
  • Trino
  • Airflow

Alternatives to Great Expectations

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Great Expectations vs the competition

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Also Ranked In

Great Expectations is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Great Expectations 9.1/10

Great Expectations is listed in our Database Testing Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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