Data validation testing framework for pipelines
Shyft Score
Directory quality rating
Our take
Great Expectations is a powerful open-source tool for data validation and profiling, ideal for teams that need customizable data quality checks without vendor lock-in.
Best for: Data teams needing open-source data validation and profiling
Try Great Expectations's free tier to see if it fits your workflow.
See how Great Expectations fits your stackBenefits
Reduce time spent on data cleaning and validation
Improve data reliability and trust across teams
Automate documentation for better data understanding
Catch data quality issues early in the pipeline
Ensure consistent data quality across multiple sources
About
Great Expectations is an open-source data quality framework that validates data pipelines through testable expectations. Define checks as code, run them continuously against production data, and get documentation and data profiling reports. Used by data engineers to prevent bad data from reaching ML models and dashboards.
Data validation through customizable expectations
Automated documentation generation
Data profiling capabilities to understand data distributions
Integration with popular data orchestration tools
Support for various data sources including SQL and NoSQL databases
Use cases
Continuous data quality validation in production pipelines
Pre-model validation to ensure ML training data integrity
Automated anomaly detection in real-time data feeds
Data governance and compliance documentation
Best for
Pricing
Great Expectations starts at $0
Starting at $0
Ecosystem
MCP servers, AI skills, and integrations that work with Great Expectations
FAQs
Common questions about Great Expectations and its capabilities
Great Expectations is an open-source data quality validation framework that helps data engineers, scientists, and analysts ensure data quality. It allows you to define 'Expectations' (assertions about your data) to validate data, generate automated documentation, and profile data distributions, integrating with various data sources and orchestration tools.
Our team can help you integrate Great Expectations with your existing tools and build custom automation workflows.
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