Releasesby GlyphGoogle Gemini 3 Pro is retired
Google Gemini 3 Pro is retired. Gemini 3.1 Pro is the recommended replacement. See Deprecated and retired models for migration guidance.
Also shipped Jul 16, 2026Databricks in July 2026 →
DCM Projects: New capabilities (Preview)
DCM Projects now supports the following capabilities in preview: For more information, see Supported object types in DCM Projects and Deploy and manage DCM Projects .
VOLATILE scalar UDFs are supported with dynamic table incremental refresh (General availability)
VOLATILE scalar user-defined functions (UDFs) are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. This applies to scalar UDFs written in Python, Java, Scala, JavaScript, and SQL. For incremental refresh, VOLATILE UDFs are supported only in the SELECT clause.
Advanced search for Projects is generally available
The filter bar in GitHub Projects views now supports advanced search, so you can build the exact view you need with logical AND and OR instead of maintaining a separate view for every question. Just type an expression using OR , AND in the filter bar of any project view.
Xcode 27 runner image now in public preview
You can now build and test your Apple applications against Xcode 27 on GitHub-hosted macOS runners. This is now available in public preview. With early access to the latest Xcode toolchain and Apple SDKs, you can validate your apps against the newest tools, catch compatibility issues sooner, and keep your CI/CD pipelines current.
Scheduled Flights available on the Lite plan
Lite plan customers can now schedule Flight runs without per-user Flight or concurrency limits.
Flink Table API for Java generally available
The Java Table API is GA with plugin 2.3-3 on Flink 2.3.0, adding global API keys, OAuth 2.0 with identity pools, and statement lifecycle management. The Python Table API remains in Open Preview.
More from Agent Bricks and Mosaic AIEvery Agent Bricks and Mosaic AI release →
MLflow trace storage in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled
MLflow trace storage in Unity Catalog tables will be available by default for workspaces with the compliance security profile enabled in mid-August 2026. Store MLflow traces in Unity Catalog tables for scalable, governed trace storage: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and...
MLflow trace storage in Unity Catalog is now generally available
MLflow trace storage in Unity Catalog tables is now generally available. Databricks recommends storing traces in Unity Catalog for new and production workloads: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces with SQL, Genie, AI/BI...
Connect and govern any external model provider
Connect and govern any external model provider (such as OpenAI, Anthropic, Amazon Bedrock, and newly released models like Meta's Muse Spark 1.1) through Unity Gateway. Register a provider once as a governed Unity Catalog securable, and every team can query it through Unity Gateway with full governance and observability.
Google Gemini 3.6 Flash now available as a Databricks-hosted model
Model Serving now supports Google Gemini 3.6 Flash as a Databricks-hosted model. You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
Google Gemini 3.5 Flash Lite now available as a Databricks-hosted model
Model Serving now supports Google Gemini 3.5 Flash Lite as a Databricks-hosted model. You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
Priority pay-per-token for Foundation Model APIs
Priority pay-per-token, also referred to as priority mode, for Foundation Model APIs pay-per-token is generally available for partner models and in preview for open source models. Priority mode is for latency-sensitive, real-time applications that need more consistent availability under load.
Databricks-provided MCP Services will GA soon
Databricks-provided MCP Services for SaaS applications such as Slack, GitHub, Atlassian, and Google Drive will soon be generally available, with both read and write operations enabled by default. Admins and users can disable MCP Services and individual tools in Unity Gateway . See Connect agents to tools with MCP Services .
Protobuf tensor input for custom model serving endpoints (Public Preview)
For custom model serving endpoints with a tensor-based input signature, you can now send the request body as a serialized KServe v2 ModelInferRequest with Content-Type: application/x-protobuf , instead of JSON. This feature is in Public Preview and is only available on endpoints deployed after July 9, 2026. See Protobuf tensor input .