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 |
| 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 |
| 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 |
| 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 |
| Admins can now manage a workspace's serverless base environments (Public Preview) Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks. | 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 28, 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.
- 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) - List MCP servers in Azure Databricks Marketplace (Public Preview)
Allows distribution of AI tools and connection to external data sources, requires provider listing.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- Admins can now manage a workspace's serverless base environments (Public Preview)
Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.