Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Git Folder Serverless is in Beta Shares serverless compute and pyproject.toml environment across notebooks and files. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Unknown on SAP | Sep 2, 2026 |
| Web terminal on serverless GPU compute (AI Runtime) is in Public Preview Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jul 31, 2026 |
| Instance events and instance pools system tables are now available (Public Preview) Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | May 21, 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 |
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Web terminal on serverless GPU compute (AI Runtime) is in Public Preview
Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.
- Instance events and instance pools system tables are now available (Public Preview)
Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.
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.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.