Weekly Databricks

What shipped

• Genie and AI/BI experiences: Ontology snippets (Public Preview) : Genie One now supports ontology snippets. This feature is in Public Preview. (02 Jul)
• Genie and AI/BI experiences: Agent mode is generally available : Agent mode in Genie Spaces is now generally available. (02 Jul)
• Genie and AI/BI experiences: Import reports from Power BI and Tableau : Authors can now import Power BI and Tableau reports as a new AI/BI dashboard directly from the dashboard list page. (02 Jul)
• Lakeflow pipeline operations: 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… (02 Jul)
• Dashboard relationships: Dashboard relationships (Public Preview) : Build complex multi-fact data models scoped to an AI/BI dashboard. See Dashboard relationships . (01 Jul)
• Lakeflow pipeline operations: The Veeva Vault connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. (01 Jul)
• MySQL integrated CDC pipeline is now in Beta: The integrated CDC pipeline for MySQL is now in Beta . An integrated CDC pipeline ingests change data from MySQL into Azure Databricks using a single pipeline, combining extraction and application into one… (01 Jul)
• Governance and compliance controls: Model Serving now supports Anthropic Claude Sonnet 5 as a Databricks-hosted model. (30 Jun)
• Run a subset of job tasks with their dependencies: When you run a subset of a job's tasks, you can now expand your selection to include each task's dependencies. (30 Jun)
• Lakehouse Real-Time: Lakehouse Real-Time (Lakehouse//RT) is now in Beta . Lakehouse//RT is a serverless SQL warehouse type built for low-latency, high-concurrency workloads, delivering sub-second SQL read queries against Unity… (30 Jun)
• Genie and AI/BI experiences: Agent mode in Genie Spaces will be enabled by default for workspaces with the compliance security profile enabled in July 2026. (29 Jun)
• Lakeflow pipeline operations: The SQL alert task in Lakeflow Jobs is now generally available. Use the task to evaluate a Databricks SQL alert as part of a Lakeflow Job. (29 Jun)

Why it matters

• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Lakeflow pipeline operations: Lakeflow updates continue the push toward lower-friction data engineering and managed pipeline design.
• Dashboard relationships: Dashboard relationships (Public Preview) : Build complex multi-fact data models scoped to an AI/BI dashboard. See Dashboard relationships .
• Lakeflow pipeline operations: Lakeflow updates continue the push toward lower-friction data engineering and managed pipeline design.
• MySQL integrated CDC pipeline is now in Beta: The integrated CDC pipeline for MySQL is now in Beta . An integrated CDC pipeline ingests change data from MySQL into Azure Databricks using a single pipeline, combining extraction and application into one pipeline…
• Governance and compliance controls: The platform is tightening controls around sensitive metadata, audit trails and compliance-profile behaviour.
• Run a subset of job tasks with their dependencies: When you run a subset of a job's tasks, you can now expand your selection to include each task's dependencies.
• Lakehouse Real-Time: Lakehouse Real-Time (Lakehouse//RT) is now in Beta . Lakehouse//RT is a serverless SQL warehouse type built for low-latency, high-concurrency workloads, delivering sub-second SQL read queries against Unity Catalog…
• Genie and AI/BI experiences: Databricks is expanding conversational analytics and workspace-native AI experiences for business users.
• Lakeflow pipeline operations: Lakeflow updates continue the push toward lower-friction data engineering and managed pipeline design.

How data teams could use it

• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Lakeflow pipeline operations: Data teams can assess whether visual design, compliance-profile support or GA readiness changes the build-vs-code path for new pipelines.
• Dashboard relationships: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Lakeflow pipeline operations: Data teams can assess whether visual design, compliance-profile support or GA readiness changes the build-vs-code path for new pipelines.
• MySQL integrated CDC pipeline is now in Beta: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Governance and compliance controls: Security teams should check whether monitoring, troubleshooting or audit workflows need adjusting as redaction and compliance defaults change.
• Run a subset of job tasks with their dependencies: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Lakehouse Real-Time: Assess whether it affects platform governance, data engineering productivity, AI/BI adoption, sharing controls or workspace operations.
• Genie and AI/BI experiences: Analytics teams can test where Genie reduces ad hoc report queues while keeping governed metrics and permissions in place.
• Lakeflow pipeline operations: Data teams can assess whether visual design, compliance-profile support or GA readiness changes the build-vs-code path for new pipelines.

Editorial read

Databricks is continuing to package the lakehouse as an operating layer for data products: more AI/BI entry points for business users, more managed pipeline tooling for engineers, and more governance around sharing, audit data and external access. The practical theme is adoption with controls: turn on the useful productivity features, but pair them with app governance, metric ownership and security review.