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Data quality monitoring anomaly detection is now generally available

Generally availableNot yet verified

Anomaly detection for data quality monitoring is now generally available. Enable it at the schema level to monitor the freshness and completeness of every table in the schema, based on historical data patterns. Results for all monitored tables are stored in the system.data_quality_monitoring.table_results system table, which is also now generally available.

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Read on docs.databricks.com

Also shipped Oct 29, 2026Databricks in October 2026 →

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Databricks Runtime 19: November 2, 2026

New features and improvements ALTER SHARE ADD/ALTER VIEW now accepts WITH HISTORY and WITHOUT HISTORY ; existing history defaults are unchanged. Library and environment updates Updated Python libraries: pytz from 2025.2 to 2026.5 tzdata from 2026.2 to 2026.5

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