Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Custom trace views in the MLflow trace explorer are in Beta Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Unknown on SAP | Aug 12, 2026 |
| Lakebase Postgres is now in Beta Available in us-east4, us-central1, and europe-west3 regions. | Not on AWS | Not on Azure | On GCP, read it on their docs | Not on SAP | Jun 15, 2026 |
| 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 |
| MLflow trace storage in Unity Catalog is now in Public Preview Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK. | 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 30, 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 Azure Databricks Marketplace (Public Preview) Allows distribution of AI tools and connection to external data sources, requires provider listing. | Not on AWS | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Nov 6, 2025 |
| Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs | |||||
| 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 |
- Custom trace views in the MLflow trace explorer are in Beta
Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.
- Lakebase Postgres is now in Beta
Available in us-east4, us-central1, and europe-west3 regions.
- 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.
- MLflow trace storage in Unity Catalog is now in Public Preview
Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase now in Public Preview
Introduces autoscaling compute and database branching on AWS. Free until January 2026.
- List MCP servers in Azure Databricks Marketplace (Public Preview)
Allows distribution of AI tools and connection to external data sources, requires provider listing.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.