Change Data Feed Now Available for Databricks Materialized Views (Beta)
Databricks has introduced Change Data Feed (CDF) support for materialized views created in Lakeflow pipelines or Databricks SQL, requiring Databricks Runtime 18 LTS or above. This capability allows users to replicate materialized view changes to external destinations or maintain an audit history of data modifications. CDF is automatically enabled for materialized views with row tracking, eliminating the need for individual configuration. This feature is currently available in Beta.
Features (1) ›
- Change data feed enabled for materialized views
Databricks now supports reading a change data feed from materialized views within Lakeflow pipelines or Databricks SQL, leveraging Databricks Runtime 18 LTS+. This enables replication of materialized view changes to external systems and supports auditing or reporting on historical changes. The feature is in Beta and automatically available for materialized views with row tracking.
https://docs.databricks.com/aws/en/release-notes/product/2026/august#change-data-feed-on-materialized-views-beta
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