Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Genie Code for AI Runtime (Public Preview) Generates distributed training code and resolves environment issues. Requires AI Runtime. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Aug 27, 2026 |
| 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 |
| 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 |
| MLflow trace storage in Unity Catalog is now generally available Stores traces in OpenTelemetry format with unlimited storage and SQL query access. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jul 16, 2026 |
| Protobuf tensor input for custom model serving endpoints (Public Preview) Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jul 9, 2026 |
| Custom Docker images for AI Runtime CLI workloads (Beta) Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Jun 29, 2026 |
| Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs | |||||
| AI Runtime CLI (Beta) Submits and manages distributed training workloads on serverless GPU compute from a local machine. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Jun 12, 2026 |
| Serve custom LLMs with Custom Model Serving (Beta) Supports multimodal models and PEFT recipes, unlike Foundation Model APIs. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | May 20, 2026 |
| Customer-managed keys now support MLflow managed evaluation features Supports MLflow 3 scorers and requires non-CMK encrypted catalog. | 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 19, 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 |
| AI Runtime 1xH100 accelerator (Beta) Supports 1xH100 accelerator, see Hardware options for details. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Apr 21, 2026 |
| Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon Deletes now retain associated tables by default, set cascade=true to remove them. | 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 9, 2026 |
| AI Runtime is now in Public Preview Adds GPU support to serverless compute for deep learning workloads. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Mar 19, 2026 |
| Declarative Feature Engineering APIs (Beta) Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions. | On AWS, read it on their docs | Not on Azure | Not on GCP | Not on SAP | Mar 9, 2026 |
| Endpoint telemetry for custom model serving endpoints (Beta) Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Not on SAP | Mar 6, 2026 |
| Change to use_case field in VPC endpoint API responses Coming soon Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details. | On AWS, read it on their docs | Not on Azure | On GCP, read it on their docs | Unknown on SAP | Feb 24, 2026 |
| Store and query MLflow traces in Unity Catalog (Beta) Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format. | On AWS, read it on their docs | On Azure, read it on their docs | Not on GCP | Unknown on SAP | Jan 26, 2026 |
- Genie Code for AI Runtime (Public Preview)
Generates distributed training code and resolves environment issues. Requires AI Runtime.
- 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.
- 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.
- MLflow trace storage in Unity Catalog is now generally available
Stores traces in OpenTelemetry format with unlimited storage and SQL query access.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this 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) - Custom Docker images for AI Runtime CLI workloads (Beta)
Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- AI Runtime CLI (Beta)
Submits and manages distributed training workloads on serverless GPU compute from a local machine.
- Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- Customer-managed keys now support MLflow managed evaluation features
Supports MLflow 3 scorers and requires non-CMK encrypted catalog.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon
Deletes now retain associated tables by default, set cascade=true to remove them.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- Declarative Feature Engineering APIs (Beta)
Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.
- Endpoint telemetry for custom model serving endpoints (Beta)
Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Store and query MLflow traces in Unity Catalog (Beta)
Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.