Datafold

Datafold provides data quality testing with automated diff capabilities for validating data migrations, transformations, and pipeline changes. Data Diff (open-source) compares tables across databases highlighting row-level differences. Cloud platform adds CI/CD integration, column-level lineage, and automated regression testing. Pricing starts around $500/month with enterprise tiers for larger deployments. Key capability: integrate with dbt Cloud or GitHub to automatically compare data before/after code changes, catching data quality issues before production. Column-level lineage tracks how data flows through transformation logic with impact analysis. The diff engine handles tables with billions of rows through smart sampling and parallel comparison. Supports Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, and more. Best suited for data teams practicing CI/CD who need confidence that changes don’t break downstream analytics. Page should cover: Data Diff open-source vs Cloud comparison, CI/CD integration setup, dbt integration workflow, column-level lineage capabilities, comparison with Great Expectations, pricing model, and use cases for data quality automation.