Releasesby GlyphStrac connector (Beta)
The Strac connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests data-security audit events from your Strac instance into Databricks. Authentication uses a Strac API key. See Strac connector .
Also shipped Jul 9, 2026Databricks in July 2026 →
Knowledge Catalog adds SQL Server and PostgreSQL connectors in preview
New connectors extract technical, operational and business metadata from SQL Server and PostgreSQL and import it into Knowledge Catalog entry groups on a schedule.
Retirement for preview models for 2.5 Flash, 2.5 Flash-Lite, and 3.1 Flash-Lite
The following preview model endpoints have been retired and are no longer accessible: gemini-2.5-flash-lite-preview-09-2025 gemini-2.5-flash-preview-05-2025 gemini-3.1-flash-lite-preview See Migrate to the latest Google models for information on how to migrate your project.
Looker Table Row Grouping for table charts enters preview
Table charts can display data hierarchically in groups with new Grouping menu options for appearance. The preview feature is enabled by default.
[Launched] Generally Available: Open AI GPT-5.6 on Azure Databricks
Open AI GPT-5.6 is now available on Azure Databricks. You can use GPT 5.6 (purchased on Microsoft Foundry) via Model Serving Endpoint in Azure Databricks. Through integrations across Foundry and Azure Databricks, you can securely build, deploy, and manage
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Change to default pipeline editor for workspaces with the compliance security profile enabled
The Lakeflow Pipelines Editor has been generally available since May 2026. In August, it will become the default editor for developing and debugging pipelines in workspaces with the compliance security profile enabled. At that time the legacy editor will be removed.
Behavior changes for continuous jobs and pipelines
In early August 2026, continuous Lakeflow pipelines and jobs will receive updates to simplify configuration. You will be able to configure a continuous schedule directly from the pipeline page, including job-level settings such as performance mode . Configuring a continuous schedule this way wraps the pipeline in a continuous job.
REPLACE WHERE flows are now generally available
REPLACE WHERE flows for pipelines and standalone streaming tables are now generally available. Use them to replace only rows matching a predicate on each refresh, without reprocessing the full table history. See Batch processing with REPLACE WHERE flows .
Excel file format support is now available by default
Excel file format support is now available by default for all workspaces. You can ingest, parse, and query .xls , .xlsx , and .xlsm files directly using built-in support, without external libraries or manual conversions. See Read and stream Excel files .
Standard performance mode is now supported for materialized view or streaming table refreshes in jobs
Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting. When the setting is turned off, the refresh uses standard performance mode, which consumes fewer DBUs.
Query-based connectors in Lakeflow Connect will soon be available by default for workspaces with the compliance security profile enabled
Query-based connectors in Lakeflow Connect will soon be available by default for workspaces with the compliance security profile enabled. Query-based connectors ingest data from databases by querying the source directly using a cursor column, without requiring change data capture (CDC) configuration or an ingestion gateway.
Lakeflow Connect row filtering is now generally available
Row filtering in Lakeflow Connect is now generally available. Row filtering allows you to ingest only the rows you need by applying conditions similar to a SQL WHERE clause, improving performance and minimizing data duplication.
Anthropic managed ingestion connector (Beta)
The Anthropic connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest Compliance API data , audit activity, organizations, users, roles, groups, settings, and Claude chats and messages , from Anthropic into Databricks. See Anthropic connector .