Databricks Runtime 19: November 2, 2026
New features and improvements ALTER SHARE ADD/ALTER VIEW now accepts WITH HISTORY and WITHOUT HISTORY ; existing history defaults are unchanged. Library and environment updates Updated Python libraries: pytz from 2025.2 to 2026.5 tzdata from 2026.2 to 2026.5
Also shipped Nov 2, 2026Databricks in November 2026 →
Check out GitHub code without long-lived credentials on self-hosted agents
Self-hosted agents can now use temporary, read-only GitHub App tokens for repository checkout. This eliminates the need to distribute and rotate long-lived SSH keys or personal access tokens across your agent fleet.
Serving tuned Gemini 3.x models on global endpoints
Serving tuned Gemini 3.x models on global endpoints is available in General Availability (GA) . You can copy fine-tuned Gemini 3.x models to the global region using the Model Registry models:copy API, deploy them to global serving endpoints, and send inference requests directly to aiplatform.googleapis.com .
[Launched] Generally Available: Change from virtual network integration to a private endpoint capable network configuration in Azure Database for PostgreSQL flexible server
You now have greater flexibility in network design for Azure Database for PostgreSQL Flexible Server workloads. Now you can change existing VNet-integrated servers from delegated-subnet networking to a private endpoint-capable configuration, enabling secu
[Launched] Generally Available: Restart databases in Azure SQL DB via the Azure portal
You can now restart or fail over databases directly from the Azure portal, including single databases, Hyperscale databases, and databases in elastic pools, without writing scripts against the Rest API or contacting support. Learn more.
Lakehouse caching for cross-cloud data access is generally available (GA)
Lakehouse caching for cross-cloud data access is generally available (GA). Cross-cloud caching is disabled by default. You can opt in to caching on a Lakehouse federated catalog or a BigQuery cross-cloud connection to cache remote files in your Google Cloud region. This helps reduce cross-cloud egress costs and accelerate subsequent queries.
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations...
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations by using Google Cloud Observability in BigQuery. This feature is generally available (GA).
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Moonshot AI Kimi K2.7 is retired
Moonshot AI Kimi K2.7 has been retired. Kimi K3 is the recommended replacement model.
Thinking Machine Labs Inkling is retired
Thinking Machine Labs Inkling has been retired. GLM 5.3 or Kimi K3 are recommended as replacements.
DeepSeek V4 Pro (0813) is retired
DeepSeek V4 Pro (0813) has been retired. DeepSeek V4.1 Flash (1017) is the recommended replacement.
Simba JDBC Driver (Legacy) 2.8.6 is available
Databricks released Simba JDBC Driver (Legacy) 2.8.6 to prevent pending Cloud Fetch downloads from delaying connection closure and to update dependencies.
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
Databricks updated Databricks Runtime 19 with operating system security updates and general bug fixes.
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.