Databricks releases, every cloud

1. Change data feed on materialized views (Beta)

   Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.

   #Databricks SQL#Lakeflow
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Aug 7, 2026
2. JAR tasks on serverless compute are now generally available

   Requires matching Scala, Java Development Kit, and Databricks Connect versions.

   #Lakeflow#Serverless
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Aug 6, 2026
3. Automatic cost attribution for materialized views and streaming tables in Databricks SQL

   Inherits custom tags from enclosing SQL warehouse environment for billing.

   #Databricks SQL#Lakeflow
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Aug 3, 2026
4. Organize your work with spaces

   Preserves open tabs for specific folders or projects.

   #Notebooks#Workspace
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Aug 3, 2026
5. 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.

   #Compute#Serverless
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Aug 3, 2026

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