Databricks Release Notes

You can now ingest data from Meta Ads. See Set up Meta Ads as a data source.

Databricks notebooks can now show the latest scheduled notebook run directly in your notebook and notebook dashboards. You can also update the notebook with the latest run results.

For more details, see View last successful run and update notebook.

Lakebase (Public Preview) now supports direct connections from the SQL editor with full read-write access. See Query from SQL editor in the workspace.

Lakebase now includes a Metrics dashboard in the Lakebase App for monitoring system and database health. Open Monitoring > Metrics to see graphs for RAM and CPU usage, connection counts, database size, compute cache hit rate, working set size, row operations, deadlocks, and replication delay. Select a branch, compute, and time range to scope the view. See Metrics dashboard.

ai_parse_document adds strikethrough support and improves parsing of short and narrow tables. Layout detection also improves for tax forms, scanned documents, and very dense documents. See ai_parse_document function.

Context-based ingress control is now in Public Preview. This feature enables account admins to set allow and deny rules that combine who is calling, from where they are calling, and what they can reach in Databricks. Context-based ingress control ensures that only trusted combinations of identity, request type, and network source can reach your workspace. A single policy can govern multiple workspaces, ensuring consistent enforcement across your organization.

See Context-based ingress control.

Gemini 3 Flash is now available as a Databricks-hosted model. This model offers speed and scale without compromising quality, with advanced multimodal capabilities for complex video analysis, data extraction, and visual Q&As. For more information, see Gemini 3 Flash.

You must now log in to Databricks and accept license terms before downloading the Simba Apache Spark ODBC Driver. See Download and install the Databricks ODBC Driver.

If you use Databricks on AWS GovCloud, contact your account team to receive access to the driver.

Flexible node types allow your compute resource to fall back to alternative, compatible instance types when your specified instance type is unavailable. This behavior improves compute launch reliability by reducing capacity failures during compute launches. See Improve compute launch reliability using flexible node types.

You can now add MLflow experiments, vector search indexes, user-defined functions (UDFs), and Unity Catalog connections as Databricks Apps resources. See Add resources to a Databricks app.

Lakebase (Public Preview) now supports Access Control Lists (ACLs). Grant CAN CREATE or CAN MANAGE permissions to control who can access and manage project resources. Manage permissions from project settings in the Lakebase App. See Manage project permissions.

The fully-managed Confluence connector in Lakeflow Connect enables you to ingest Confluence spaces, pages, attachments, blogposts, labels, and classification levels into Databricks. See Configure OAuth U2M for Confluence ingestion.

The fully-managed PostgreSQL connector in Lakeflow Connect is in Public Preview. This connector enables incremental data ingestion from PostgreSQL databases, including Amazon RDS PostgreSQL, Amazon Aurora PostgreSQL, Azure Database for PostgreSQL, Google Cloud SQL for PostgreSQL, and on-premises PostgreSQL databases. See Configure PostgreSQL for ingestion into Databricks.

You can now share tables, materialized views, and streaming tables to external Iceberg clients such as Snowflake, Trino, Flink, and Spark. External Iceberg clients can query shared Delta tables with zero-copy access. For details, see Enable sharing to external Iceberg clients and Iceberg clients: Read shared data.

Lakebase is now in Public Preview on AWS. This new version of Lakebase introduces autoscaling compute, scale-to-zero, database branching, instant restore, and a redesigned project-based interface. To allow users to explore the new version, usage of Lakebase is free for a limited time. Billing for Lakebase usage begins in January 2026. See Get started with Lakebase Postgres.

To help migrate accounts and workspaces to Unity Catalog, two admin settings that disable legacy features are now generally available:

• Disable legacy features: Account-level setting that disables access to DBFS, Hive Metastore, and No-isolation shared compute in new workspaces.
• Disable access to Hive metastore: Workspace-level setting that disables access to the Hive metastore used by your workspace.

Mosaic AI Model Serving now supports OpenAI GPT-5.2 as a Databricks-hosted model. You can access this model using Foundation Model APIs pay-per-token.

The standard SharePoint connector offers more flexibility than the managed SharePoint connector. It allows you to ingest structured, semi-structured, and unstructured files into Delta tables with full control over schema inference, parsing options, and transformations. To get started, see Ingest files from SharePoint.

For an in-depth comparison of the SharePoint connectors, see Choose how to ingest from SharePoint.

You can now ingest data from the NetSuite2.com data source programmatically using the Databricks API, the Databricks CLI, or a Databricks notebook. See Configure NetSuite for ingestion into Databricks.