Great Expectations (GX)

Open-source data validation framework with a managed GX Cloud

Overview

Great Expectations is a data validation framework in which data teams declare ‘expectations’, assertions such as a column never being null or values falling within a range, and run them against data in pipelines to produce validation results and documentation. The company offers GX Core, the framework, along with an Expectation Gallery of reusable checks and integrations, and GX Cloud, a managed service.[17] GX Cloud can be used free through a Developer option, with Team and Enterprise solutions for greater flexibility; prices for the paid options are not listed on the pricing page.[17] Great Expectations suits data engineers who prefer to define quality as code, version it alongside pipelines and run it in orchestration tools. The approach gives precise control and costs nothing to start, but coverage depends entirely on the expectations a team writes and maintains, and the framework has less automatic anomaly detection and fewer business-user features than commercial observability platforms.

What Great Expectations (GX) does

  • Declarative expectations as code
  • GX Core framework
  • Expectation Gallery
  • Validation results and documentation
  • GX Cloud managed service
  • Free Developer option

Great Expectations (GX) pricing

GX Cloud Developer: free. Team and Enterprise: prices not published.

Great Expectations (GX) strengths and limitations

Strengths

  • Free to start
  • Quality defined and versioned as code
  • Reusable expectation library
  • Fits orchestration workflows

Limitations

  • Coverage depends on hand-written checks
  • Paid plan prices not published
  • Limited automatic anomaly detection
  • Fewer business-user features

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