Data quality monitoring anomaly detection

Anomaly detection in Unity Catalog data quality monitoring is turned on per schema and learns from historical patterns to flag freshness and completeness problems in every table of the schema, with results for all monitored tables in the system.data_quality_monitoring.table_results system table and in Catalog Explorer. Public Preview from February 2, 2026 and generally available since October 29, 2026; percent null, completeness slicing and the recently resolved incidents view are still in Beta. It sits beside Data profiling (formerly Lakehouse Monitoring).

Statuses and dates come from public Databricks sources only. We do not see the private roadmap Databricks shares with customers. If something looks wrong, report a correction.