Databricks Release Notes

The counter_diff window function calculates differences between consecutive cumulative counter values and handles counter resets, for time-series analysis of counter data. It is available in Databricks SQL and Databricks Runtime 19 and above. See counter_diff analytic window function.

You can now set performance_target to STANDARD in the Jobs API. Apache Airflow's DatabricksSubmitRunOperator also supports this. See Create and trigger a one-time run and Select a performance mode.

Sharing and reading foreign Iceberg tables with OpenSharing is now generally available. Providers can share Iceberg tables federated from foreign Iceberg catalogs using Lakehouse Federation, including to recipients using external Iceberg clients. See Add foreign Iceberg tables to a share for providers and Read data in a shared foreign Iceberg table for recipients.

Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available. Providers can share foreign schemas and tables federated from external data sources using Lakehouse Federation, without copying data into Databricks. See Add foreign schemas or tables to a share for providers and Read data in a shared foreign table or foreign schema for recipients.

Sharing foreign schemas and tables materializes data on the provider's side, which incurs compute and storage costs. See How do I incur and check OpenSharing costs?.

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the entire job. Databricks captures the snapshot automatically for eligible runs. See Session restore for serverless jobs.

DeepSeek V4.1 Flash is now available on Unity Gateway with text and image inputs. See supported regions. You can access this model using Foundation Model APIs.

Customers are responsible for ensuring their compliance with applicable terms.

Genie One and Genie Code can now use Databricks-provided MCP connectors for Google Drive, Gmail, Google Calendar, Microsoft 365, Atlassian, Slack, and GitHub to search and act on your company's tools while answering questions. Every connection is governed through Unity Catalog and Unity Gateway, which authorizes each tool call, enforces built-in policies and approval requirements, and logs usage and audit activity. Each user authenticates individually, and OAuth tokens aren't shared. See Connect Genie One to external tools and sources.

You can now create managed tables in Lakeflow pipelines and write to them with one or more append flows. This feature is in Beta. You can also use import_checkpoint on an append flow to migrate an existing Structured Streaming workload into a pipeline without reprocessing the source.

See create_table, CREATE TABLE ... FLOW (pipelines), and append_flow.

You can now set a maintenance window on a continuous Lakeflow pipeline to control when Databricks applies platform updates that require a restart, such as new runtime versions and serverless infrastructure maintenance. Select a day of the week, a start hour, and a time zone, and Databricks starts maintenance only within that one-hour window. Configure the window in the Jobs UI, the Pipelines UI, or the Jobs REST API.

See Manage updates for continuous pipelines.

The Databricks Excel Add-in is now generally available. Connect Microsoft Excel to your Databricks workspace to browse and import governed Unity Catalog tables and views, run SQL queries, build pivot tables, use custom functions, and write data back to Unity Catalog. You can now also enable Live query when building pivot tables to see results as you update the fields.

See Connect to Databricks from Microsoft Excel.

In early October 2026, horizontal scaling for Databricks Apps will be automatically enabled for workspaces with the compliance security profile enabled. Horizontal scaling lets you run an app across multiple instances behind a single app URL for higher availability and concurrency.

See Horizontal scaling for Databricks apps.

Account admins can now set an account-wide retention period from 30 to 3,650 days for supported system tables. See Configure system table data retention.

Genie Code now includes conversation controls that let you branch and revise a chat. You can fork a conversation into a new, independent thread from a point you choose, ask a quick side question with /btw without adding it to the thread, and edit an earlier message to regenerate the conversation from that point. See Branch and edit chats.

External secrets connect a Unity Catalog schema to AWS Secrets Manager. The secrets appear in Unity Catalog as read-only securable objects that you govern with Unity Catalog privileges. Databricks reads their values from AWS Secrets Manager on demand. See External secrets in Unity Catalog.

The Celigo connector is now available in Lakeflow Connect in Beta. Workspace admins can control access to this feature from the Previews page.

The connector ingests audit log events, such as create, update, and delete operations on resources, from Celigo (integrator.io) into Databricks. Authentication uses a Celigo integrator.io API token.

See Celigo connector.

The Anysphere Organization connector is now available in Lakeflow Connect in Beta. Workspace admins can control access to this feature from the Previews page.

The connector uses the Anysphere (Cursor) Organization Admin API to ingest organization members, groups, and group members into Databricks as daily snapshots. Authentication uses a Cursor Organization Admin API key.

See Anysphere Organization connector.

The Anaplan connector is now available in Lakeflow Connect in Beta. Workspace admins can control access to this feature from the Previews page.

The connector ingests audit trail events and user account records from your Anaplan tenant into Databricks. Authentication uses an Anaplan CA certificate and its paired private key.

See Anaplan connector.

On November 1, 2026, Databricks will remove the account- and workspace-level toggle for partner-powered AI features. Each workspace will keep its current setting value: if the setting is enabled, it stays enabled, and if it's disabled, it stays disabled. Removing the toggle doesn't change any setting values. After November 1, 2026, to change this setting, contact your Databricks account team.

See Partner-powered AI features.

Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available. Today, Lakeflow Connect ingests formula fields by taking a full snapshot on each pipeline run by default. When incremental formula field ingestion is generally available, full snapshots will no longer be the default. Incremental ingestion typically improves performance and reduces cost.

See Ingest Salesforce formula fields incrementally.