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Data Governance

Great Expectations (GX)

Open-source data quality testing framework with a managed cloud product

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About Great Expectations (GX)

GX provides GX Core, an Apache 2.0 open-source Python framework for defining, testing and documenting data quality expectations, and GX Cloud, a managed platform built on it. It is widely used by data engineers who validate data within orchestration pipelines.

Common use cases

  • Validate data in pipelines
  • Block bad data downstream
  • Document quality rules

Products and services

GX Core

Open-source framework for data validation and documentation.

GX Cloud

Managed platform for data quality collaboration and monitoring.

Key features

  • Expectation-based validation
  • Data Docs reports
  • Pipeline gating
  • Python and notebook workflow
  • Orchestrator integration
  • Community extensions

Integrations

  • Apache Airflow
  • Databricks
  • Snowflake
  • Amazon S3
  • Google Cloud
  • Azure Blob Storage
  • PostgreSQL

Great Expectations (GX) alternatives

FAQs

Is GX free?

GX Core is open source under Apache 2.0.

Who uses it?

Data engineers and analytics teams validating pipelines.

What does it integrate with?

Airflow, Databricks, Snowflake and major cloud storage.

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