Databricks Runtime 19 introduces Automatic Change Data Feed GA for Delta Lake
Databricks Runtime 19 now includes the general availability of Automatic Change Data Feed (Auto CDF), which streamlines row-level change tracking for Delta Lake and Apache Iceberg v3 tables. This feature computes changes at query time, eliminating the need for manual CDF enablement and reducing write-time overhead. Auto CDF boosts MERGE and UPDATE operations by approximately 15% on tables frequently queried for changes. It supports batch queries, Structured Streaming, and Delta Lake Sharing, requiring Databricks Runtime 19 LTS or above with row tracking enabled.
Features (1) ›
- Automatic Change Data Feed now generally available
Automatic change data feed (Auto CDF) is now generally available, providing row-level change computation at query time without requiring manual enablement on Delta Lake or Apache Iceberg v3 tables. This enhancement removes write-time overhead and improves MERGE and UPDATE operation speeds by about 15% for tables frequently queried for changes. Auto CDF is compatible with batch queries, Structured Streaming, and Delta Lake Sharing, and necessitates Databricks Runtime 19 LTS or higher with row tracking activated.
https://docs.databricks.com/aws/en/release-notes/runtime/19#databricks-runtime-19-september-1-2026
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