Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| AUTO CDC flows for streaming tables in Databricks SQL are generally available Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jun 15, 2026 |
| Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available Requires Databricks Runtime 17.3 and above. Available in Databricks SQL. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | May 27, 2026 |
| Workspace base environments are now generally available Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Apr 24, 2026 |
- AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available
Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Workspace base environments are now generally available
Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.