Datafold

24 reviews

Datafold is a proactive data observability platform that prevents data outages by proactively stopping data quality issues before they get into production. The platform comes with four unique features that reduce the number of data quality incidents that make it into production by 10x. - Data Diff: 1-click regression testing for ETL that saves you hours of manual testing. Know the impact of each code change with automatic regression testing across billions of rows. - Column-level lineage: using SQL files and metadata from the data warehouse, Datafold constructs a global dependency graph for all your data, from events to BI reports that help you reduce incident response time, prevent breaking changes, and optimize your infrastructure. - Data Catalog: Datafold saves hours spent on trying to understand data. Find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidations of metadata in one place. - Alerting: Be the first one to know with Datafold's automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds.