Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Variant shredding will soon be enabled by default on new Variant tables Coming soon Requires Databricks Runtime 17.3 or above. Breaks compatibility with Databricks Runtime 15.4. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Sep 22, 2026 |
| Create a least-privilege Databricks workspace Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud. | Not on AWS | Not on Azure | On GCP, read it on their docs | Not on SAP | Jul 27, 2026 |
| 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 |
| List MCP servers in Databricks Marketplace (Public Preview) Lets users install MCP servers to connect AI agents to external data sources. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Nov 6, 2025 |
- Variant shredding will soon be enabled by default on new Variant tables Coming soon
Requires Databricks Runtime 17.3 or above. Breaks compatibility with Databricks Runtime 15.4.
- Create a least-privilege Databricks workspace
Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.
- 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.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.