Databricks releases, every cloud
- Databricks Apps is now on by default for workspaces with the compliance security profile enabled
Requires compliance security profile.
- Databricks Apps telemetry is now generally available
Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.
- Horizontal scaling for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon
Automatically enabled in October 2026 for compliance workspaces, allowing multiple instances behind a single URL.
- Organize your work with spaces
Preserves open tabs for specific folders or projects.
- Create a least-privilege Databricks workspace
Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.
- Protobuf tensor input for custom model serving endpoints (Public Preview)
Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks Apps horizontal scaling (Beta)
Runs across multiple instances behind a single URL, supports zero-downtime deployments.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - App telemetry for Databricks Apps is now in Public Preview
Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Updated UI navigation for Databricks Apps
Streamlines app editing and deployment workflows, accessible from the app switcher.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Git-backed app deployments are now generally available
Deploys apps from Git repositories, allowing Git-only deployments across a workspace.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Apps supports uv for Python dependency management
Uses pyproject.toml and uv.lock files. Replaces prior dependency management methods.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase databases as Databricks Apps resources
Replaces manual database configuration, requires Lakebase setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Apps compute sizing support for compliance security profile standards
Available by default for workspaces with compliance security profile enabled, supporting all Databricks compliance standards.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - New resources for Databricks Apps
Adds app-to-app communication and governed table access. Requires Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Apps telemetry (Beta)
Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Deploy Databricks apps from Git repositories (Beta)
Deploys from any branch, tag, or commit, without uploading files to the workspace.
- Tag Databricks Apps (Public Preview)
Organize and categorize apps, but search is not supported.
- View and restore your recent workspace tab sessions
Restores up to 10 recent sessions.
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- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Compute sizing for Databricks Apps is now generally available
Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.
- New resource types for Databricks Apps
Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.
- Configure compute size for Databricks Apps (Public Preview)
Controls CPU, memory, and cost based on workload requirements.
- OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving
Includes GPT-5 mini and nano models.
- Improved autoscaling behavior for Mosaic AI Model Serving
Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.
- Mosaic AI Model Serving now supports OpenAI GPT 5 models (preview)
Supports GPT-5, GPT-5 mini, and GPT-5 nano models for batch inference with AI Functions.
- Anthropic Claude Opus 4.1 now available as a Databricks-hosted foundation model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Route-optimized endpoints now require route-optimized URL path for querying
Requires route-optimized URL path for querying, standard workspace URL path not supported for new endpoints.
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.