Datafold vs Great Expectations

Datafold9.3Visit Great Expectations9.1Visit

Higher score Datafold #1 in Database Testing Tools 9.3/10 Pricing on request · 14-day trial Free trial✓ 2 of 3 features Visit Datafold

vs

Great Expectations #2 in Database Testing Tools 9.1/10 Free plan Free plan✓ 2 of 3 features Visit site

• Datafold fits best

  Enterprise data-diff and CI/CD validation

• Great Expectations fits best

  Teams wanting open-source data-quality testing

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Side by side

Feature	Datafold 9.3/10 Visit ↗	Great Expectations 9.1/10 Visit ↗
At a glance
Editor score	9.3	9.1
Ranking	#1 in Database Testing Tools	#2 in Database Testing Tools
Best for	Enterprise data-diff and CI/CD validation	Teams wanting open-source data-quality testing
Pricing model	Paid	Free plan + paid
Starting price	Pricing on request · 14-day trial	—
Free plan	—	✓ (best)
Free trial	14 days	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web, macOS, Linux
Support	Email, Live chat, Community, Docs	Community, Docs
Compliance	SOC 2, GDPR, HIPAA, SSO/SAML	SOC 2, HIPAA
Integrations	20 integrations	20 integrations
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Datafold 2/3 · Great Expectations 2/3
Schema migration tests	✓	✓
Stored procedure tests	Not checked yet	Not checked yet
Data quality checks	✓	✓
Specs
Database support	Amazon S3, Azure Data Lake Storage, Athena, Azure Synapse Analytics, BigQuery, Databricks, Dremio, Google Cloud Storage, MySQL, MariaDB, Microsoft SQL Server, Netezza, Vertica, Oracle, Snowflake, PostgreSQL, Redshift, SAP HANA, Starburst, Teradata, Trino	AlloyDB, Amazon Aurora PostgreSQL, Citus, Databricks SQL, Microsoft SQL Server, Neon, Oracle, PostgreSQL, Redshift, Snowflake, SQLite, Trino
Test execution	Both	Both
Test language	SQL, YAML	Python, SQL, Spark SQL
Our review
Pros	Value-level diffs across a broad range of databases and warehouses CI/CD testing with SQL and YAML support for pull requests and deployments Schema monitoring, lineage, APIs, and hosted or self-hosted deployment	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
Cons	Paid pricing requires a sales conversation No free plan is available The free trial lasts 14 days	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	Datafold is a data engineering platform for data and analytics teams that need to compare datasets, validate migrations, test database changes, and monitor data quality. Its core capabilities include value-level table and dataset… Read the review →	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 →

Strengths and trade-offs

• Datafold — where it wins

  • Value-level diffs across a broad range of databases and warehouses
  • CI/CD testing with SQL and YAML support for pull requests and deployments
  • Schema monitoring, lineage, APIs, and hosted or self-hosted deployment

  Where it doesn't

  • Paid pricing requires a sales conversation
  • No free plan is available
  • The free trial lasts 14 days

• 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

• Datafold9.3/10 · Pricing on request · 14-day trial

  A broad database testing platform for migration validation, CI/CD, and data quality monitoring.

  Visit DatafoldFull verdict →
• Great Expectations9.1/10 · Free plan

  A flexible choice for repeatable database and pipeline validation.

  Visit siteFull verdict →