Releasesby GlyphZerobus Ingest into default storage is now generally available
Ingesting into tables backed by default storage with Zerobus Ingest in Lakeflow Connect is now generally available. See Create or identify the target table .
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).
More from LakeflowEvery Lakeflow release →
Okta connector is available in Beta
The managed Okta connector is now available in Beta in Databricks Lakeflow Connect. Workspace admins can enable Lakeflow Connect for Okta on the Previews page . Use the connector to ingest identity and access data from Okta into Databricks, including users, groups, group memberships, app integrations, devices, policies, and administrator roles.
Trigger Lakeflow Jobs when upstream jobs complete (Beta)
You can now run a Lakeflow Job when one or more upstream jobs complete, including across workspaces attached to the same Unity Catalog metastore. Configure dependencies on the downstream job. See Trigger jobs when upstream jobs complete .
Microsoft Graph Logs connector is available in Beta
The Microsoft Graph Logs connector is now in beta for Databricks Lakeflow Connect, supporting incremental ingestion of security alerts from Microsoft security products.
Monitor data freshness in Lakeflow Connect database connector pipelines (Public Preview)
You can now see how current each destination table is in Lakeflow Connect database connector pipelines, in Public Preview . The new Data freshness column in the pipeline's tables list shows the time since the latest source commit that the pipeline ingested for each change data capture (CDC) table.
Xero connector is available in Beta
The managed Xero connector is now available in beta for Databricks Lakeflow Connect, supporting incremental ingestion of accounting data.
Real-time mode in Lakeflow pipelines is now generally available
Real-time mode in Lakeflow pipelines is generally available on classic and serverless compute, providing operational streaming processing latencies as low as five milliseconds.
Multiple real-time flows per serverless pipeline and source stage adaptive repartitioning are in Beta
Databricks released Beta support for running multiple real-time flows per serverless pipeline and adaptive source repartitioning for Kafka and Kinesis in preview channel pipelines.
Serverless log delivery to Unity Catalog volumes (Beta)
Workspace admins can now deliver serverless job application logs to a Unity Catalog volume for retention and analysis. See Deliver serverless logs to Unity Catalog volumes .