Releasesby GlyphAccount-level security features are now available by default at GA
Account-level security features, including network connectivity and encryption controls, are now available by default upon general availability. Admins no longer need to manually enable these features on the Previews page.
Also shipped Oct 26, 2026Databricks in October 2026 →
Conversation logging for Conversational analytics in BigQuery is generally available
BigQuery now supports logging data agent conversations directly to a BigQuery table within the agent's project.
Looker (Google Cloud core) data lineage is generally available
Data lineage for Looker (Google Cloud core) is now generally available, providing end-to-end visibility for LookML dashboards and Conversational Analytics agents.
BigQuery Python user-defined functions support volume mounts in preview
Python user-defined functions in BigQuery now support volume mounts, allowing users to access dependency files directly from Cloud Storage.
Looker-managed Model Context Protocol (MCP) server is generally available
The Looker-managed MCP server is now generally available, allowing AI agents to interact with business data and LookML models without middleware.
BigQuery REGEXP_EXTRACT_GROUPS function is in preview
The new REGEXP_EXTRACT_GROUPS function allows users to extract substrings matching multiple capturing groups in a regular expression.
OpenAI GPT-6.1 Terra is now generally available on Amazon Bedrock
OpenAI GPT-6.1 Terra is now generally available on Amazon Bedrock, offering improved visual reasoning and computer use capabilities for enterprise workloads.
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DataFrame caching on serverless compute is now in Public Preview
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Shared Serverless for Asset Bundles (Beta)
Notebooks and files within the same asset bundle can now share serverless compute and environments defined in the bundle-root pyproject.toml file.
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.
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 .
DeepSeek V4.1 Flash is scheduled for retirement
DeepSeek V4.1 Flash will be retired on November 19, 2026. DeepSeek V4.1 Flash (1017) is the recommended replacement. See Deprecated and retired models for migration guidance.
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 .
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 .
AI Runtime will soon be available by default for workspaces with the compliance security profile enabled
AI Runtime is scheduled to become generally available on October 15, 2026, on AWS and Azure for workspaces without the compliance security profile enabled. AI Runtime will be available by default for eligible workspaces with the compliance security profile enabled in mid November. Availability depends on the supported compliance standards and regions.