Releasesby GlyphShared Serverless (Beta)
With Shared Serverless, 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 Use Shared Serverless in bundles .
Also shipped Oct 22, 2026Databricks in October 2026 →
Trace and evaluate Cursor agents with Langfuse, powered by ClickHouse
Users can now connect Cursor to Langfuse to trace agent turns and analyze model and tool calls, with ClickHouse providing the underlying analytics infrastructure.
The AI.TRANSLATE function is generally available
The AI.TRANSLATE function is now generally available in BigQuery. It supports both standard Neural Machine Translation and Translation LLM capabilities for text string translation.
Replit Monitoring Agent: Your very own software engineering team
Replit Monitoring Agent is an autonomous tool that investigates production alerts, identifies causes, applies fixes, and deploys them to production for internal apps.
You can configure Direct VPC ingress for Cloud Run instances ( Preview )
Direct VPC ingress is now in preview for Cloud Run. This feature allows instances on a VPC network to use ephemeral private IP addresses for communication with other VPC resources.
Gemini Enterprise: Single-user quota limits
Gemini Enterprise administrators can now set single-user quota limits to prevent individual users from consuming the entire subscription quota pool. This feature is generally available.
Optimize AI costs with Agent Observability
Datadog introduced Agent Observability to help engineers identify applications driving AI spend, prioritize savings, and validate cost changes against performance.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
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.
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.
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.
Account-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.
Databricks Runtime 19: October 26, 2026
Bug fixes Operating system security updates and miscellaneous fixes.
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 .