Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Databricks Documentation site table of contents tabs Replaces static sidebar with tabbed navigation, includes 6 context tabs. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Not on SAP | Mar 31, 2026 |
| Change to use_case field in VPC endpoint API responses Coming soon Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Feb 24, 2026 |
| New GCP regions support serverless compute Available in me-central1 and southamerica-east1 regions. | Not on AWS | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Feb 2, 2026 |
| Serverless workspaces are now available in new GCP regions Available in most GCP regions, see documentation for list. | Not on AWS | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Dec 15, 2025 |
| The Data Science Agent can now also use models served through Anthropic on Databricks Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Oct 8, 2025 |
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- New GCP regions support serverless compute
Available in me-central1 and southamerica-east1 regions.
- Serverless workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- The Data Science Agent can now also use models served through Anthropic on Databricks
Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.