Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Lakebase Change Data Feed (CDF) is now in Public Preview Captures row-level changes from Postgres tables as Delta tables, requiring no external CDC stack. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | May 12, 2026 |
| Lakebase now in Public Preview Introduces autoscaling compute and database branching on AWS. Free until January 2026. | On AWS, read it on their docs | Not on Azure | Not on GCP | Unknown on SAP | Dec 12, 2025 |
| 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 |
| Budget policy support for Lakebase database instances and synced tables (Public Preview) Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 25, 2025 |
| Lakebase Public Preview enabled by default No admin enablement required, can be disabled by admins. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 11, 2025 |
- Lakebase Change Data Feed (CDF) is now in Public Preview
Captures row-level changes from Postgres tables as Delta tables, requiring no external CDC stack.
- Lakebase now in Public Preview
Introduces autoscaling compute and database branching on AWS. Free until January 2026.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- Budget policy support for Lakebase database instances and synced tables (Public Preview)
Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage.
- Lakebase Public Preview enabled by default
No admin enablement required, can be disabled by admins.
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.