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2,135 this month · 171 companies

Shared Serverless for Asset Bundles (Beta)

Beta2 days agoUnverifiedAdded Oct 24, 2026

With Shared Serverless for Asset Bundles, notebooks and files in the same bundle can share serverless compute and an environment defined in the bundle-root pyproject.toml file. Workspace admins can enable Project-Scoped Shared Compute on the Previews page . See Shared Serverless for Asset Bundles .

Topics: Notebooks

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Updateunverified

Databricks Runtime 19: October 19, 2026

Behavioral changes Spark Connect DataFrame execution metrics now hide internal operators and metrics associated with row filters and column masks. This protects information about policy execution when inspecting df.executionInfo.metrics , including its text representation. The boundary of the protected portion of the plan and its own metrics remain visible.

Updateunverified

Filter data per end user with OAuth custom identity claims

You can now add a custom identity claim to a service principal's OAuth token and filter rows by it in a dynamic view or ABAC policy. Serve many end users through one service principal while each sees only their own data. See Filter data per end user with OAuth custom identity claims .

GAunverified

ADBC driver for Power BI is now generally available

The Arrow Database Connectivity (ADBC) driver for the Databricks connector for Power BI is now generally available. ADBC is the default driver for new connections in Power BI Desktop and the Power BI service. See Configure ADBC or ODBC driver for Power BI .

GAunverified

On-demand state repartitioning is now generally available

On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .

Updateunverified

Databricks AI Runtime SDK replaces serverless_gpu

Starting in GPU environment version 6, the Databricks AI Runtime SDK ( databricks-sdk-air ) replaces the deprecated serverless_gpu package. It provides the @distributed and ray_init APIs and the databricks.air.data utilities under the databricks.air namespace. The gpus and gpu_type arguments are renamed to num_accelerators and accelerator_type .

Also shipped on Oct 22, 2026

Databricks in October 2026