Great Expectations

Great Expectations is a data quality and validation platform that helps teams define, test, and monitor expectations about their data across the entire lifecycle. It enables users to create “Expectations” as human-readable, version-controlled rules that describe how data should behave, such as schema constraints, value ranges, uniqueness, completeness, and referential integrity. The SaaS solution provides an end-to-end workflow for profiling data, authoring and validating expectations, orchestrating checks in pipelines, and visualizing results in a centralized interface.

Key capabilities include integration with common data sources (data warehouses, data lakes, files, and databases), automated test generation based on data profiling, and flexible configuration for different environments. Great Expectations supports CI/CD workflows, enabling data quality checks to run automatically as part of ETL/ELT pipelines and analytics jobs. Teams can track data quality over time, investigate failures with detailed validation results, and share standardized data quality documentation with stakeholders.