Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Databricks Assistant Agent mode is now in Public Preview Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Unknown on SAP | Dec 23, 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 |
| 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 |
| Databricks Assistant Agent mode: Data Science Agent is in Beta Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning. | 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 3, 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 |
- Databricks Assistant Agent mode is now in Public Preview
Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.
- 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.
- Databricks Assistant Agent mode: Data Science Agent is in Beta
Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.
- 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, 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.