Releasesby GlyphReal-time mode in Lakeflow pipelines is now generally available
Real-time mode in Lakeflow pipelines is now generally available on classic compute and serverless compute. Use it for operational workloads that need end-to-end latency as low as five milliseconds, such as fraud detection. See Use real-time mode in Lakeflow pipelines .
Also shipped Oct 29, 2026Databricks in October 2026 →
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Gemini-powered Explore summaries in Looker are generally available
The ability to generate summaries of Looker Explores using Gemini assistance is now generally available.
Looker bullet chart visualization is generally available
The bullet chart visualization type is now generally available in Looker, allowing users to evaluate metric performance against targets and thresholds.
Looker table row grouping is generally available
Table row grouping and associated menu options are now generally available in Looker, allowing hierarchical display of table data.
Looker Visualization Assistant is generally available
The Looker Visualization Assistant is now generally available.
More from LakeflowEvery Lakeflow release →
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.
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.
Multiple real-time flows per serverless pipeline and source stage adaptive repartitioning are in Beta
On serverless pipelines that use the preview channel, you can run multiple real-time mode flows in one pipeline without the flows competing for task slots. Source stage adaptive repartitioning automatically adjusts the number of tasks that read from each Kafka or Kinesis source to match its traffic, so you don't need to set maxPartitions or shardsPerTask .
Improved Lakeflow Performance Observability will soon be available by default for workspaces with the compliance security profile enabled
Databricks is enabling improved Lakeflow performance observability by default for workspaces with the compliance security profile.
QuickBooks connector is available in Beta
The managed QuickBooks connector is now available in beta, enabling incremental ingestion of accounting data into Databricks.
Improved Lakeflow Performance Observability is now generally available
Lakeflow Jobs now provide job-level query performance metrics, insights, and optimization suggestions via Genie Code.
PayPal connector is available in Beta
Databricks Lakeflow Connect now offers a managed PayPal connector in Beta for incremental ingestion of payment data.
Box Audit Logs managed ingestion connector (Beta)
The Box Audit Logs connector for Lakeflow Connect is now available in beta, enabling the ingestion of enterprise audit events into Databricks.