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Release AWS Azure GCP SAP Date Change data feed on materialized views (Beta) Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 7, 2026 JAR tasks on serverless compute are now generally available Requires matching Scala, Java Development Kit, and Databricks Connect versions.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 6, 2026 Automatic cost attribution for materialized views and streaming tables in Databricks SQL Inherits custom tags from enclosing SQL warehouse environment for billing.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 3, 2026 Serverless compute access control is now generally available Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 3, 2026
Change data feed on materialized views (Beta) Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
JAR tasks on serverless compute are now generally available Requires matching Scala, Java Development Kit, and Databricks Connect versions.
Automatic cost attribution for materialized views and streaming tables in Databricks SQL Inherits custom tags from enclosing SQL warehouse environment for billing.
Serverless compute access control is now generally available Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.
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