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Databricks ships every week.
Here's what matters.

A curated read of the Databricks docs product-update feed, scoped to the six things a bank-finance SQL/BI analyst actually does — modeling, quality, Power BI, Genie, agent skills, apps. Re-queried hourly.

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Data Modeling65 ITEMS

MAY 28 · 2026BetaNewSource ↗

Cross-engine attribute-based access controls

External engines can now read Unity Catalog managed tables (Delta and Iceberg) with attribute-based access controls (ABAC), row filters, and column masks enforced server-side. See Cross-engine attribute-based access controls (ABAC).

Data Modeling
Why it mattersYou can now enforce row and column-level access policies on your Delta tables when external tools (like Power BI connectors or SQL clients) query them directly, without building those restrictions into each downstream application.
MAY 27 · 2026BetaNewSource ↗

Google Drive managed ingestion connector

The Google Drive connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest files from Google Drive into Databricks. Both unstructured (binary) and structured (CSV, JSON, XML, Excel, Parquet, Avro, ORC) ingestion are supported, as well as file meta

Power BI & BI ReportingData Modeling
Why it mattersYou can now pull CSV, Excel, and JSON files directly from Google Drive into Databricks without writing custom scripts or managing credentials yourself.
MAY 26 · 2026BetaNewSource ↗

Lakeflow Spark Declarative Pipelines parameters are now in Beta

Pipeline parameters let you define key-value pairs at the pipeline level and reference them from SQL source code using named parameter syntax. See Use parameters with pipelines.

Data Modeling
Why it mattersYou can now parameterize SQL pipelines in Databricks so you can reuse the same pipeline definition across different environments or time periods without duplicating code.
MAY 21 · 2026GANewSource ↗

Genie Space enhancements and bug fixes

"Fields" replaces "Dimensions": Genie Spaces now uses "Fields" instead of "Dimensions" in the metric view and SQL expressions interfaces. See Define SQL expressions. Benchmarks support agent mode: Benchmarks now support agent mode, which uses the same multi-step reasoning as Geni

GenieData Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 19 · 2026GANewSource ↗

Lakeflow Designer updates

The following updates were made to Lakeflow Designer: Enabled by default: Lakeflow Designer is now enabled by default for all free edition, premium, and enterprise tier workspaces. To get started, click +New in the sidebar and select Visual data prep. If you don't see this option

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 19 · 2026GANewSource ↗

Edits to resources in the UI now automatically update YAML

Edits to jobs and pipeline settings in the UI now automatically update YAML. See Edit bundle resources.

Data Modeling
Why it mattersYou can now modify job schedules and pipeline configurations directly in the Databricks UI without manually editing YAML files or worrying about sync conflicts.
MAY 15 · 2026GANewSource ↗

Lakeflow Spark Declarative Pipelines sinks are now generally available

The Lakeflow Spark Declarative Pipelines sink API is now generally available. Use sinks with append flows to write transformed pipeline data to external targets, including Delta tables, Apache Kafka topics, Azure Event Hubs, and custom Python data sources. See Using sinks in pipe

Data Modeling
Why it mattersYou can now write Databricks pipeline outputs directly to external systems like Kafka or Event Hubs without writing custom code, reducing ETL complexity for downstream data delivery.
MAY 14 · 2026BetaNewSource ↗

Lakeflow Spark Declarative Pipelines environment versions

Environment versions for Lakeflow Spark Declarative Pipelines are now in Beta. Configure an environment version on a pipeline to pin the Python language version and set of preinstalled libraries, decoupling your pipeline's Python runtime from Databricks Runtime upgrades. See Conf

Data Modeling
Why it mattersYou can now lock your Lakeflow pipelines to specific Python versions and library sets independently of Databricks Runtime upgrades, preventing unexpected breaking changes in your data models.
MAY 14 · 2026PreviewNewSource ↗

SQL alert task in Lakeflow Jobs is now in Public Preview

The SQL alert task in Lakeflow Jobs, previously in Beta, is now in Public Preview. Use the task to evaluate a Databricks SQL alert as part of a Lakeflow Job. The task returns its evaluation state as a task output value, so downstream tasks can branch on the result. See SQL alert

Power BI & BI ReportingData Quality & MonitoringData Modeling
Why it mattersYou can now trigger conditional workflows in Lakeflow Jobs based on SQL alert results, automating data quality responses without manual intervention.
MAY 12 · 2026PreviewNewSource ↗

Lakebase Autoscaling: Lakehouse Sync is now in Public Preview

Lakehouse Sync is now in Public Preview for Lakebase Autoscaling. Lakehouse Sync enables continuous, low-latency replication of your Lakebase Postgres tables into Unity Catalog managed Delta tables using Change Data Capture (CDC). See Lakebase Change Data Feed.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 11 · 2026PreviewNewSource ↗

App telemetry for Databricks Apps is now in Public Preview

You can now collect traces, logs, and metrics from your Databricks Apps and persist them to Unity Catalog tables using the OpenTelemetry (OTel) protocol. See Configure telemetry for Databricks Apps.

AI AppsData Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 11 · 2026GANewSource ↗

HubSpot connector

The managed HubSpot connector in Lakeflow Connect is now generally available. The connector allows you to ingest data from HubSpot Marketing Hub into Databricks. See HubSpot connector.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 08 · 2026GANewSource ↗

Catalog commits are now generally available

Catalog commits are now generally available. Catalog commits expand Unity Catalog managed table interoperability, strengthen Unity Catalog governance capabilities, and unlock new features such as multi-statement, multi-table transactions. When catalog commits are enabled on a Uni

Data Modeling
Why it mattersYou can now wrap multiple SQL statements across different tables in a single transaction, ensuring all changes commit together or roll back together if any statement fails.
MAY 07 · 2026GANewSource ↗

Genie Space enhancements

Export context as metric view: You can now export the context from a Genie Space as a metric view to centrally define your business semantics. See Export a Genie Space as a metric view. Iframe monitoring (Beta): Messages from iframe-embedded Genie spaces are now logged in the Mon

GenieData Quality & MonitoringData Modeling
Why it mattersYou can now export business logic from a Genie Space as a metric view, letting you reuse those definitions across other Databricks tools without rebuilding them manually.
MAY 07 · 2026BetaNewSource ↗

Standalone pipelines on serverless general compute

Standalone pipelines, including materialized views and streaming tables, can now be created from a notebook running on serverless general compute. Standalone pipelines (renamed from pipelines on Databricks SQL) can be created using SQL or Python. Standalone pipelines are in Beta.

Data Modeling
Why it mattersYou can now run Databricks SQL pipelines directly from a notebook on serverless compute without provisioning a SQL warehouse, reducing infrastructure overhead and costs.
MAY 05 · 2026BetaNewSource ↗

Outlook managed ingestion connector

The Outlook connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest email data from Microsoft Outlook into Databricks. See Outlook connector.

Data Modeling
Why it mattersYou can now ingest email data directly from Outlook into Databricks tables, eliminating manual exports and enabling automated monitoring of email-based communication patterns for compliance or operational analytics.
MAY 05 · 2026BetaNewSource ↗

GitHub managed ingestion connector

The GitHub connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest data from GitHub into Databricks. See GitHub connector.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 05 · 2026BetaNewSource ↗

Smartsheet managed ingestion connector

The Smartsheet connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest data from Smartsheet into Databricks. See Smartsheet connector.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAY 04 · 2026GANewSource ↗

Lakeflow Pipelines Editor is now generally available

The Lakeflow Pipelines Editor is now generally available. The editor offers an agent-first experience with Genie Code for creating, updating, and debugging production pipelines, with your code and Genie Code chat side by side with the pipeline graph and metrics. See Develop and d

GenieData Modeling
Why it mattersYou can now use natural-language prompts in Genie to generate and modify Databricks pipeline code directly, reducing time spent hand-writing transformation logic.
MAY 01 · 2026BetaNewSource ↗

Community connectors

Open-source connectors extend Lakeflow Connect to sources without managed connector support. They're built and maintained by the community. Use a registered connector or create your own. See Community connectors in Lakeflow Connect.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 30 · 2026GANewSource ↗

agg SQL function as a synonym for measure

The new agg aggregate function is a synonym for measure. Use agg(measure_column) as a shorter alternative when querying measures in a metric view.

Data Modeling
Why it mattersYou can now write `agg(column)` instead of `measure(column)` in metric view queries, saving keystrokes on frequently-run SQL.
APR 30 · 2026GANewSource ↗

Disabling tasks in Lakeflow Jobs is now GA

You can now disable a task in a Databricks Lakeflow job to skip it at run time without removing it from the job. Disabled tasks keep their configuration and run history, so you can re-enable them later without rebuilding the task. See Disabled tasks in Lakeflow Jobs.

Data Modeling
Why it mattersYou can skip specific data transformation steps in scheduled jobs without deleting them, making it easier to temporarily pause problematic pipelines while debugging.
APR 30 · 2026PreviewNewSource ↗

MLflow trace storage in Unity Catalog is now in Public Preview

MLflow trace storage in Unity Catalog tables, previously in Beta, is now in Public Preview. Traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces from Databricks SQL or the MLflow Python S

AI AppsData Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 28 · 2026GANewSource ↗

Attribute-based access control (ABAC) is now generally available

Attribute-based access control (ABAC) is now generally available (GA). ABAC is an access control model in Unity Catalog that uses governed tags applied to data assets to dynamically enforce row filter and column mask policies on tables, materialized views, and streaming tables. P

Data Modeling
Why it mattersYou can now grant data access to users based on attributes (like department or role) attached to data objects, rather than managing individual user permissions for each table.
APR 28 · 2026GANewSource ↗

Tag Unity Catalog functions

Functions are now a supported securable object type for tagging in Unity Catalog. Use SET TAG and UNSET TAG to add and remove tags from functions. You can use tags to search for functions and certify or deprecate functions. See Apply tags to Unity Catalog securable objects.

Data Modeling
Why it mattersYou can now tag Unity Catalog functions to mark them as certified or deprecated, making it easier to identify which functions are safe to use in your data models and reports.
APR 28 · 2026GANewSource ↗

Zendesk Support connector

The Zendesk Support connector in Lakeflow Connect is now generally available. See Zendesk Support connector overview.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 25 · 2026GANewSource ↗

Confluence connector

The Confluence connector in Lakeflow Connect is now Generally Available. See Confluence connector.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 23 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Table cross-filtering and drill-through: Tables now support cross-filtering and drill-through. Counter prefix and suffix: Numbers in counters now support custom prefixes and suffixes. See Format template. Schema browser default dataset type (Public Preview): Adding a table to a d

Power BI & BI ReportingData Modeling
Why it mattersYou can now cross-filter tables in dashboards and drill through to detailed views without building separate reports or complex DAX measures.
APR 23 · 2026UpcomingNewSource ↗

Workspace object permissions will soon be inherited from all account groups

In an upcoming release, workspace object permissions will be inherited from all account groups, not just groups directly assigned to the workspace. Principals will inherit permissions on workspace objects, such as jobs, notebooks, folders, queries, and dashboards, from all accoun

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 22 · 2026PreviewNewSource ↗

Lakeflow Designer is now in Public Preview

You can now visually build data transformation workflows with a drag-and-drop canvas and natural language in Lakeflow Designer. See Lakeflow Designer. Available in Public Preview.

Data Modeling
Why it mattersYou can now build SQL transformation pipelines visually without writing code, using drag-and-drop or natural language prompts instead of hand-coding queries.
APR 22 · 2026GANewSource ↗

Language selector for AI-generated comments in Catalog Explorer

You can now change the default language for AI-generated comments in Catalog Explorer. Your selection is saved in your browser's local storage and applies to all subsequent AI-generated comment requests across all supported entity types. See Change the default language for AI-gen

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 20 · 2026GANewSource ↗

Databricks Data Classification is now GA

Databricks Data Classification is now generally available. Use Data Classification to automatically classify and tag sensitive data in Unity Catalog using an agentic AI system. See Data Classification.

Data Modeling
Why it mattersTag sensitive financial data columns automatically in Unity Catalog without manually identifying and marking each one across your datasets.
APR 17 · 2026GANewSource ↗

BI compatibility mode removed from Power BI connector

Microsoft has removed the BI compatibility mode option, which allows you to query Unity Catalog metric views in Power BI, from the Power BI Databricks connector. Reports that use this connector option no longer function. To request restored support for Databricks metric views in

Power BI & BI ReportingData Modeling
Why it mattersYou can no longer use the Power BI connector to query Unity Catalog metric views, requiring you to rebuild affected reports using direct SQL queries or alternative data structures.
APR 17 · 2026GANewSource ↗

Altering a catalog or schema's managed storage location is now GA

The ability to modify a catalog or schema's managed storage location is now generally available. The managed storage location is the default location in cloud storage used when new managed tables and volumes are created in Unity Catalog catalogs or schemas. See Specify a managed

Data Modeling
Why it mattersYou can now change where Databricks stores new managed tables by default, eliminating the need to recreate catalogs or schemas if storage requirements shift.
APR 16 · 2026GANewSource ↗

Metric view enhancements

Measures and dimensions creation use Builder mode by default (Public Preview): Builder mode, the UI-based transformation tool, is now the default experience for editing measures and dimensions in metric views.

Data Modeling
Why it mattersYou can now create and edit measures and dimensions in metric views using a point-and-click interface instead of writing SQL, speeding up model changes without database expertise.
APR 16 · 2026GANewSource ↗

Databricks Connector for Google Sheets is now generally available

The Databricks Connector for Google Sheets is now generally available. Use the connector to import and query Unity Catalog data, like Unity Catalog metric views. See Databricks Connector for Google Sheets.

Power BI & BI ReportingData Modeling
Why it mattersImport Unity Catalog tables directly into Google Sheets without exporting to CSV or staging in intermediate tools.
APR 16 · 2026GANewSource ↗

Compute log delivery to volumes is now GA

Delivering Spark driver, worker, and event logs from classic all-purpose and jobs compute to Unity Catalog volumes is now generally available. This is the recommended approach for log storage. See Compute log delivery.

Data Modeling
Why it mattersYou can now route all Spark compute logs directly to Unity Catalog volumes, centralizing job and cluster diagnostics in a managed location instead of managing separate cloud storage configurations.
APR 15 · 2026PreviewNewSource ↗

Query-based connectors for Lakeflow Connect

Query-based connectors in Lakeflow Connect are now available in Public Preview. 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. Supported so

Data Modeling
Why it mattersYou can now ingest data directly from source databases using SQL queries without needing CDC setup, reducing pipeline complexity and time to get fresh data into your lakehouse.
APR 15 · 2026GANewSource ↗

Sample Data Explorer is generally available

Sample Data Explorer with Genie Code is now generally available. Sample Data Explorer lets you ask questions about tables in Unity Catalog using natural language. Genie Code returns a response that includes an SQL query answering your question. See Explore sample data with Genie

GenieData Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 14 · 2026BetaNewSource ↗

Create and write to Unity Catalog tables from external Delta clients

The Unity REST API now supports write and create access to Unity Catalog external and managed Delta tables from external Delta clients such as Apache Spark. External Delta tables support full read, write, and create operations. Creating and writing to Unity Catalog managed Delta

Data Modeling
Why it mattersYou can now push data to Unity Catalog tables directly from external Spark jobs or scripts without routing through Databricks notebooks, simplifying your data pipeline architecture.
APR 13 · 2026UpcomingNewSource ↗

Upcoming behavioral change: VOID columns included in Delta table reads

In mid-June 2026, Delta Lake will fully support VOID columns. Previously, VOID columns were silently skipped by path-based DataFrame reads (for example, spark.read.format("delta").load(path)) and time travel queries. After this change, these queries include VOID columns in the ou

Data Modeling
Why it mattersVOID columns will start appearing in your Delta table reads after June 2026, potentially breaking Power BI refresh jobs if your datasets weren't explicitly filtered to exclude them.
APR 13 · 2026GANewSource ↗

Column-level SAP governance tags sync into Unity Catalog

Column-level personal data governance tags from SAP Business Data Cloud (BDC) now sync into Unity Catalog, including fieldSemantics, isPotentiallyPersonal, and isPotentiallySensitive. Use these tags in attribute-based access control (ABAC) policies to govern access to sensitive c

Data Modeling
Why it mattersYou can now automatically enforce column-level access restrictions in Databricks based on SAP's personal data classifications without manually reconfiguring governance rules.
APR 13 · 2026GANewSource ↗

SQL reference documentation for managing governed tags

The Databricks SQL reference now includes documentation for five new SQL statements for managing governed tags: CREATE GOVERNED TAG, ALTER GOVERNED TAG, DROP GOVERNED TAG, DESCRIBE GOVERNED TAG, and SHOW GOVERNED TAGS. For more information, see Create and manage governed tags.

Data Modeling
Why it mattersYou can now programmatically create, modify, and delete governed tags directly in SQL instead of using the UI, enabling automated tag governance workflows in your data modeling pipelines.
APR 09 · 2026GANewSource ↗

Dashboard enhancements

Local metric views (Public Preview): A new dataset type lets you create metric views directly in a dashboard using a low-code visual interface, without publishing to Unity Catalog first. See Local metric views. Edit hex color values inline: Authors can now click directly on a hex

Power BI & BI ReportingData Modeling
Why it mattersYou can now build and test metric views directly within Power BI dashboards without the extra step of publishing them to Unity Catalog first, saving setup time.
APR 09 · 2026UpcomingNewSource ↗

Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline

In an upcoming release, the default behavior when deleting a Unity Catalog pipeline will change. Currently, deleting a pipeline also removes all associated materialized views, streaming tables, and views. After this change, associated tables will be retained, but inactive after t

Data Modeling
Why it mattersDeleting a Unity Catalog pipeline will soon stop automatically dropping downstream tables, meaning you'll need to manually clean up materialized views and streaming tables to avoid orphaned objects cluttering your catalog.
APR 09 · 2026BetaNewSource ↗

New cascade field for deleting Unity Catalog pipelines

A new cascade field is available in the Pipelines DELETE API for Unity Catalog pipelines. By default, cascade=true, which preserves the existing behavior of deleting all associated materialized views, streaming tables, and views when a pipeline is deleted. Set cascade=false to re

Data Modeling
Why it mattersYou can now delete a Unity Catalog pipeline without automatically removing its associated tables and views, preventing accidental data loss when decommissioning pipelines.
APR 08 · 2026BetaNewSource ↗

ai_prep_search

ai_prep_search is now available in Beta. This SQL function transforms the structured output of ai_parse_document into search-ready chunks optimized for vector search and RAG pipelines. See ai_prep_search function.

AI AppsData Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 06 · 2026GANewSource ↗

Workspace skills for Genie Code are now available

Workspace skills for Genie Code Agent mode are now available. Workspace admins can create shared skills that are available to everyone in the workspace. Use workspace skills for broadly useful workflows across your team, such as machine learning pipelines or domain-specific proce

GenieAgent SkillsData Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 06 · 2026GANewSource ↗

SAP semantic metadata syncs automatically into Unity Catalog

When you mount an SAP Business Data Cloud (BDC) share to a catalog, semantic metadata (such as table and column comments, primary keys, foreign keys, and governance tags) syncs automatically into Unity Catalog. You can use SAP governance tags in ABAC policies to control access to

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
APR 02 · 2026GANewSource ↗

Governed tags are generally available

Governed tags are generally available. Governed tags allow administrators to define a controlled set of tags that can be applied to Unity Catalog objects and workspace objects, helping organizations enforce consistent metadata tagging for access control, data classification, and

Data Modeling
Why it mattersAdministrators can now enforce mandatory, standardized tags on your data assets, making it easier to automatically track data lineage and classification rules across Databricks without manual oversight.
MAR 25 · 2026GANewSource ↗

Type widening is now generally available

Type widening for Delta Lake tables is now generally available. Type widening allows you to change column data types to wider types such as INT to BIGINT or FLOAT to DOUBLE during ingestion without rewriting underlying data files. See Type widening.

Data Modeling
Why it mattersYou can now change column data types to wider types (INT to BIGINT, FLOAT to DOUBLE) in Delta tables without triggering full table rewrites, cutting data refresh time for evolving schemas.
MAR 25 · 2026PreviewNewSource ↗

Auto Loader supports automatic type widening

Auto Loader now supports automatic type widening with the new addNewColumnsWithTypeWidening schema evolution mode. This feature automatically widens data types (such as int to long or float to double) without requiring data rewrite or user intervention. Type widening is available

Data Modeling
Why it mattersYou can ingest data files with evolving numeric types without manually adjusting schemas or reprocessing historical data.
MAR 19 · 2026BetaNewSource ↗

SQL alert task for jobs

You can now add a SQL alert task to your Databricks jobs to evaluate Databricks SQL alerts as part of your workflows. SQL alert tasks enable automated condition checks and notifications within your data pipelines. See SQL alert task for jobs.

Power BI & BI ReportingData Quality & MonitoringData Modeling
Why it mattersYou can now embed SQL alert condition checks directly into Databricks job workflows to automatically validate data quality gates before datasets reach Power BI.
MAR 17 · 2026GANewSource ↗

Search in metric views fix

Searching for measures and dimensions in the metric view overview page now returns correct results across paginated results and supports filtering by display name. See Unity Catalog metric views.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAR 13 · 2026PreviewNewSource ↗

Health indicators for tables in Catalog Explorer

You can now view health indicators for tables on schema and table overview pages in Catalog Explorer (Public Preview). Health indicators show a summary of each table's freshness and completeness status based on anomaly detection. See Anomaly detection.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAR 13 · 2026GANewSource ↗

ABAC policy functions now use snake_case naming

ABAC policy tag functions now use snake_case naming (has_tag, has_tag_value, has_column_tag, has_column_tag_value), consistent with other Databricks SQL built-in functions. The camelCase forms (hasTag, hasTagValue, hasColumnTag, hasColumnTagValue) continue to work for backward co

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAR 11 · 2026BetaNewSource ↗

Databricks SQL pipelines support notifications and performance mode

Materialized views and streaming tables defined and scheduled in Databricks SQL now support failure notifications and serverless performance mode configuration in Beta. See Schedule refreshes.

Data Modeling
Why it mattersYou can now set up automatic alerts when SQL pipeline refreshes fail, and run pipelines on serverless compute instead of managing your own clusters.
MAR 09 · 2026BetaNewSource ↗

Workday HCM connector

The managed Workday HCM connector in Lakeflow Connect is now available in Beta. Use this connector to ingest data from Workday Human Capital Management into Databricks. See Workday Human Capital Management (HCM) connector.

Data Modeling
Why it matters(Marked not directly relevant for this audience.)
MAR 09 · 2026GANewSource ↗

New resources for Databricks Apps

You can now add other Databricks apps and Unity Catalog tables as resources for your Databricks app. App resources enable app-to-app communication, and table resources provide governed access to structured data. See Add a Databricks app resource to a Databricks app and Add a Unit

AI AppsData Modeling
Why it matters(Marked not directly relevant for this audience.)
MAR 09 · 2026PreviewNewSource ↗

Multi-table transactions are now in Public Preview

You can now group multiple SQL statements across multiple tables into a single atomic transaction using BEGIN ATOMIC ... END; syntax. All changes succeed together or roll back together, ensuring data consistency across your operations. Multi-table transactions require catalog com

Data Modeling
Why it mattersYou can now wrap multiple SQL inserts/updates across different tables in a single atomic transaction, so either all succeed or all fail together—preventing partial updates that corrupt your data models.
MAR 06 · 2026BetaNewSource ↗

Endpoint telemetry for custom model serving endpoints

You can now configure endpoint telemetry to persist logs, traces, and metrics from custom model serving endpoints into Unity Catalog Delta tables using OpenTelemetry. This enables root cause analysis, application health monitoring, and compliance retention using standard SQL quer

AI AppsData Quality & MonitoringData Modeling
Why it mattersYou can now automatically log model serving endpoint performance metrics and errors into Delta tables, then monitor them directly in Power BI using SQL queries.
MAR 06 · 2026BetaNewSource ↗

Databricks Apps telemetry

You can now configure telemetry for your Databricks apps to collect traces, logs, and metrics and persist them to Unity Catalog tables using the OpenTelemetry (OTel) protocol. After you enable app telemetry, Databricks automatically captures system logs and usage events. See Conf

AI AppsData Modeling
Why it mattersYou can now automatically capture and store detailed execution traces, logs, and metrics from your Databricks apps directly into Unity Catalog tables for monitoring and troubleshooting.

Data Quality & Monitoring11 ITEMS

MAY 27 · 2026UpcomingNewSource ↗

Databricks SQL alerts will soon be available by default for workspaces with the compliance security profile enabled

Databricks SQL alerts will be available by default for workspaces with the compliance security profile enabled in June 2026. Use Databricks SQL alerts to monitor data and KPIs by running queries on a schedule, evaluating conditions, and notifying recipients when conditions are me

Data Quality & Monitoring
Why it mattersYou'll automatically get SQL query alerting in compliant workspaces, letting you monitor data quality metrics and KPI thresholds without manual setup or additional configuration steps.
MAY 14 · 2026UpcomingNewSource ↗

Upcoming workspace sidebar navigation updates

The workspace sidebar navigation is getting updated section groupings: A new Analytics section groups Dashboards, Genie Spaces, and Alerts. The SQL section is renamed to Lakehouse and contains SQL Editor, Queries, Query History, and SQL Warehouses. In the app switcher, Lakehouse

GeniePower BI & BI ReportingData Quality & Monitoring
Why it matters(Marked not directly relevant for this audience.)
MAY 14 · 2026GANewSource ↗

Configure an additional recipient for workspace operational emails

Workspace admins can now add an additional email recipient to receive operational emails about a workspace. Once configured, this address receives the same operational updates as workspace admins, including things like breaking changes, incident communications, and feature rollou

Data Quality & Monitoring
Why it mattersYou can now forward Databricks operational alerts (breaking changes, incidents, feature rollouts) to a dedicated monitoring inbox instead of only the workspace admin's email.
MAY 14 · 2026GANewSource ↗

Databricks SQL alerts are now generally available

The latest version of Databricks SQL alerts is now generally available. SQL alerts let you monitor data and KPIs by running a query on a schedule, evaluating a condition, and notifying recipients when the condition is met. Use SQL alerts to monitor KPI drifts, detect anomalies, a

Data Quality & Monitoring
Why it mattersYou can now set up automated notifications when your data quality checks or KPI thresholds fail, without building custom monitoring logic outside Databricks.
APR 30 · 2026GANewSource ↗

Genie Space enhancements

Weekly digest and monitoring: The Monitoring tab now includes a Weekly digest section showing weekly messages, users, and thumbs up/down feedback. Authors can also use Genie Code to summarize top usage trends and common issues from the monitoring page. PDF file uploads: Upload PD

GenieData Quality & Monitoring
Why it mattersYou can now review weekly Genie usage patterns and user feedback directly in Databricks without exporting data to analyze separately.
APR 27 · 2026BetaNewSource ↗

Recently Resolved Incidents section in Data Quality Monitoring

The Data Quality Monitoring dashboard now includes a Recently Resolved Incidents section, currently in Beta. This section shows tables that were previously unhealthy but have since automatically recovered to a healthy status, including the time of resolution. Use this view to ide

Power BI & BI ReportingData Quality & Monitoring
Why it mattersYou can now see which data quality issues self-healed without manual intervention, letting you identify patterns in transient failures versus systemic problems.
APR 15 · 2026GANewSource ↗

Updated UI navigation for Databricks Apps

The Databricks Apps console has a redesigned interface that provides a more intuitive app management experience. The updated console streamlines workflows for editing, deploying, and monitoring apps. You can also access Databricks Apps directly from the app switcher in the top ri

AI AppsData Quality & Monitoring
Why it matters(Marked not directly relevant for this audience.)
APR 15 · 2026BetaNewSource ↗

AI Gateway now governs MCP servers

You can now use AI Gateway to enforce access control, monitor usage, and audit activity across all MCP interactions in your workspace. AI Gateway is the Databricks central governance layer for LLM endpoints, coding agents, and MCP servers. See Unity AI Gateway.

AI AppsData Quality & Monitoring
Why it matters(Marked not directly relevant for this audience.)
MAR 25 · 2026GANewSource ↗

New fields in lineage system table entity metadata

The entity_metadata struct in the system.access.table_lineage and system.access.column_lineage system tables now includes genie_space_id and alert_id fields. The genie_space_id field is populated when the lineage record originates from a Genie space querying data, and alert_id is

GenieData Quality & Monitoring
Why it mattersYou can now join lineage records to Genie spaces and data quality alerts to trace which BI dashboards and automated monitors triggered specific data access patterns.
MAR 19 · 2026BetaNewSource ↗

Create alerts for anomaly detection in the Data Quality Monitoring UI

You can now create and view alerts for anomaly detection directly in the Databricks Data Quality Monitoring UI. This feature is in Beta. See Alerts for anomaly detection.

Data Quality & Monitoring
Why it mattersYou can now set up automatic notifications when data quality anomalies are detected, without writing custom monitoring code.
MAR 18 · 2026GANewSource ↗

Databricks usage dashboard is now generally available

The usage dashboard is now generally available. Account admins can import customizable, pre-built usage dashboards to monitor their Databricks usage at the account and workspace levels. See Usage dashboards.

Power BI & BI ReportingData Quality & Monitoring
Why it mattersMonitor your team's Databricks compute and storage costs by workspace without building custom queries, helping you identify runaway jobs or unused clusters.

Power BI & BI Reporting37 ITEMS

MAY 21 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Import BI workbooks (Beta): Add a Tableau or Power BI file to Genie Code and it builds an AI/BI dashboard that replicates your visualizations. See Import BI files using Genie Code. Open-source fonts: Over 20 new open-source fonts are now available as defaults. See Set a dashboard

GeniePower BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAY 21 · 2026GANewSource ↗

Genie enhancements

Direct link to associated dashboard: Genie now surfaces a direct link to the associated dashboard when hovering over entities in the chat pane. Ask Genie on the workspace homepage: Ask Genie has been added to the workspace homepage. See Homepage.

GeniePower BI & BI Reporting
Why it mattersYou can now quickly navigate from a Genie chat answer directly to its source dashboard without manually searching for it.
MAY 20 · 2026PreviewNewSource ↗

Configure Microsoft Entra ID SSO for Power BI

You can now configure Microsoft Entra ID as the identity provider for single sign-on (SSO) to Databricks from Power BI using an account-level federation policy. See Configure Microsoft Entra ID SSO for Power BI.

Power BI & BI Reporting
Why it mattersYou can now use your existing Microsoft Entra ID credentials to automatically authenticate Power BI connections to Databricks without separate password management.
MAY 19 · 2026GANewSource ↗

Databricks Add-in for Excel support for all compliance security profile standards

The Databricks Add-in for Excel (Public Preview) now supports all compliance security profile standards supported by Databricks. For more, see Compliance security profile and Connect to Databricks from Microsoft Excel.

Power BI & BI Reporting
Why it mattersYou can now connect Excel directly to Databricks datasets without reconfiguring security settings for each compliance framework your bank uses.
MAY 18 · 2026GANewSource ↗

Unified runs list is generally available

You can now view all of your job and pipeline runs in the updated Runs list. Track all of your pipeline runs in one place and filter by status, time, run-as user, run ID, and error codes in real time. Spot trends using the visualization and summary of the current top five error c

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAY 14 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Error bars on line charts: Line charts now support displaying error bars as bands. Cross-filtering and drill-through: Line, combo, and area charts now support cross-filtering and drill-through filters. See Use drill-through to filter data. Custom SQL measure bug fix (Public Previ

Power BI & BI Reporting
Why it mattersYou can now add error bands to line charts and enable cross-filtering between visualizations without rebuilding reports.
MAY 14 · 2026GANewSource ↗

View run history for scheduled refreshes in Google Sheets

You can now view the run history of scheduled refreshes in the Databricks Connector for Google Sheets. Each run shows its Run ID, start time, and success status. See Schedule data refreshes in Google Sheets.

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAY 11 · 2026GANewSource ↗

HIPAA support for the Databricks Add-in for Excel

The Databricks Add-in for Excel (Public Preview) is now available for workspaces with HIPAA compliance across all supported regions. See Connect to Databricks from Microsoft Excel.

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAY 07 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Improved error messages: Dashboard error messages can now be more easily viewed and copied. Reset draft API: An API is now available for dashboard authors to reset the draft to the last published version. Undo-redo on the data page: Dashboards in draft mode now support undo and r

Power BI & BI Reporting
Why it mattersYou can now undo and redo edits on dashboard data pages, and copy error messages directly instead of manually transcribing them.
MAY 05 · 2026UpcomingNewSource ↗

Excel file format support will soon be available by default

Excel file format support will be available by default for all workspaces in early June 2026. You can ingest, parse, and query .xls, .xlsx, and .xlsm files directly using built-in support, without external libraries or manual conversions. Workspace admins can enable it now under

Power BI & BI Reporting
Why it mattersYou can now query Excel files directly in Databricks SQL without writing Python to convert them first, saving time on data prep.
MAY 01 · 2026GANewSource ↗

Native data profiling for results tables in the SQL editor

You can now view profiling statistics for columns in results tables in the new Databricks SQL editor. Select column headers and click Open selection details to view profiling statistics.

Power BI & BI Reporting
Why it mattersYou can now inspect column distributions, null counts, and data types directly in SQL query results without exporting to Power BI or running separate profiling queries.
MAY 01 · 2026GANewSource ↗

Tabular attachments in dashboard email subscriptions for workspaces with the compliance security profile enabled

Tabular attachments in dashboard email subscriptions will be available by default for workspaces with the compliance security profile enabled in June 2026. Email subscribers receive a PDF snapshot and optionally tabular data from selected dashboard widgets as CSV, TSV, or Excel f

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAY 01 · 2026GANewSource ↗

Native data profiling for notebook results tables

You can now view profiling statistics for columns in notebook results tables. From a results table, select column headers and click Open selection details to view profiling statistics. This feature is also available in the new Databricks SQL editor. See Select data.

Power BI & BI Reporting
Why it mattersYou can now inspect data distribution, null rates, and cardinality directly in Databricks notebook results without exporting to Power BI, saving time on quality checks before publishing datasets.
APR 30 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Publish with service principal credentials: Authors can now publish dashboards using the data credentials of a service principal. See Publish a dashboard. Service principal draft view fix: Fixed a bug where a dashboard published via a service principal loses the ability to view d

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
APR 30 · 2026GANewSource ↗

Power BI connections will transition to ADBC

Power BI plans to transition all Power BI connections to Arrow Database Connectivity (ADBC) in July 2026. To avoid disruptions, Databricks recommends switching your development and staging semantic models to ADBC now and validating your workloads. The ADBC driver for Power BI on

Power BI & BI Reporting
Why it mattersPower BI will require ADBC connections to Databricks by July 2026, so you need to test your existing semantic models with the new driver now to prevent production outages.
APR 28 · 2026PreviewNewSource ↗

5X-Large SQL warehouse size

The 5X-Large cluster size for serverless and pro SQL warehouses is in Public Preview in all regions. The 5X-Large size provides 512 workers. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews. For more information on SQL war

Power BI & BI Reporting
Why it mattersYou can now run queries against larger datasets without waiting for query timeouts, enabling analysis of multi-billion-row tables that previously required sampling or staging.
APR 27 · 2026GANewSource ↗

Databricks One renamed to Genie

Databricks One, the simplified Databricks interface, has been renamed to Genie. The feature and its capabilities are unchanged. Genie enables users to: View and interact with AI/BI dashboards to track key performance indicators (KPIs) and analyze metrics. Ask data questions in na

GeniePower BI & BI Reporting
Why it mattersYou can now reference "Genie" in your organization's Databricks documentation and training instead of "Databricks One," avoiding confusion during team onboarding and support discussions.
APR 24 · 2026GANewSource ↗

Databricks Excel Add-in requires workspace preview enablement

To use the Databricks Excel Add-in, a workspace admin must now enable the Excel Connector preview from the Previews page. See Set up the Databricks Excel Add-in and Manage Databricks previews.

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
APR 16 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Warehouse overload message: Dashboards now show a message explaining when rendering is delayed due to the warehouse being overloaded. Tabular attachments in email subscriptions: Dashboard email subscriptions now include tabular attachments. Fullscreen scroll position: Exiting ful

Power BI & BI Reporting
Why it mattersYou can now see why a Power BI dashboard is slow (warehouse overload) instead of silently waiting, and send dashboard data as spreadsheet attachments in email subscriptions.
APR 16 · 2026GANewSource ↗

Visualization enhancements

Dashed and dotted line styles: You can now style lines as dashed or dotted in the Pattern section of the configuration panel.

Power BI & BI Reporting
Why it mattersYou can now apply dashed or dotted line styles to chart lines directly in Power BI's configuration panel instead of using workarounds.
APR 06 · 2026GANewSource ↗

List Dashboards API sort order change

On May 4, 2026, a new version of the List Dashboards API will change the sort order of results. Dashboards will be returned in reverse chronological order by last modified date, with the most recently modified dashboard first, instead of alphabetically by title. This is a breakin

Power BI & BI Reporting
Why it mattersYou'll need to update any automation scripts or tools that rely on alphabetical dashboard ordering, as the API will now return dashboards by modification date instead.
APR 02 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Clear applied filters individually: Dashboard viewers can now individually clear applied filters from the active selection bar. Text box vertical alignment: Text box widgets now support vertical alignment (top, center, and bottom). Choropleth map boundaries: Choropleth maps now s

Power BI & BI Reporting
Why it mattersYou can now clear individual filters from a dashboard's active selection bar instead of clearing all filters at once, saving time when exploring multiple dimensions.
MAR 30 · 2026GANewSource ↗

New SQL editor default enablement and legacy SQL editor retirement

The new SQL editor has been generally available since October 2025. As part of the transition to the new editor, the following changes are planned: Starting in late May 2026: The new SQL editor will be enabled by default for all workspaces. The ability to turn off the feature at

Power BI & BI Reporting
Why it mattersYou'll need to migrate your SQL queries to the new editor interface before late May 2026, as the legacy editor will no longer be available.
MAR 30 · 2026GANewSource ↗

Databricks Connector for Google Sheets updates

The Databricks Connector for Google Sheets has been updated with a longer query execution timeout, UI improvements, and additional scheduled refresh limitations. See Databricks Connector for Google Sheets.

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAR 26 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Legacy dashboard color palette setting removed: The workspace setting for the legacy dashboard color palette has been removed, as legacy dashboards are no longer supported. AI/BI workspace-level color palettes remain available and unchanged. Genie Space descriptions on dashboards

GeniePower BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAR 24 · 2026GANewSource ↗

Dynamic parameters in the new SQL editor

The new SQL editor now supports a Dynamic dropdown widget type for named parameter markers. Select a saved query to populate dropdown values, keeping the list current as your data changes. See Dynamic dropdown.

Power BI & BI Reporting
Why it mattersYou can now populate SQL query parameter dropdowns directly from saved queries, so filter values stay current without manual updates.
MAR 19 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Date filter keyboard input: Fixed an issue where entering a date value via keyboard for relative date ranges failed to accept the input. Dashboard theme color palette: Fixed a bug where the visualization color palette was hidden when editing dashboard themes at the workspace leve

Power BI & BI Reporting
Why it mattersYou can now type dates directly into relative date range filters without the input being rejected, instead of having to use a date picker.
MAR 19 · 2026GANewSource ↗

Dashboard enhancements and bug fixes

Date filter keyboard input: Fixed an issue where entering a date value via keyboard for relative date ranges failed to accept the input. Dashboard theme color palette: Fixed a bug where the visualization color palette was hidden when editing dashboard themes at the workspace leve

Power BI & BI Reporting
Why it mattersYou can now enter dates by keyboard for relative date range filters instead of being forced to use the calendar picker.
MAR 13 · 2026GANewSource ↗

Some partner-powered AI features are now available in-country for Brazil, Canada, Japan, Korea, Singapore, and the UK

The following features are now available through models hosted in-country in Brazil, Canada, Japan, Korea, Singapore, and the UK: Genie Code chat and cell actions Genie Spaces (excluding Agent mode) AI-generated comments AI/BI dashboards Workspaces in these countries can use thes

GeniePower BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAR 13 · 2026BetaNewSource ↗

5X-Large SQL warehouse size

The 5X-Large cluster size for serverless and pro SQL warehouses is now available in Beta. For serverless SQL warehouses, 5X-Large is available in all supported regions. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews. For

Power BI & BI Reporting
Why it mattersYou can now run queries against very large datasets without splitting complex joins or aggregations across multiple smaller warehouse runs.
MAR 12 · 2026GANewSource ↗

Dashboard enhancements and improvements

Dashboard embedding for external users is generally available: Embed AI/BI dashboards in external applications without requiring viewers to have Databricks accounts. See What is embedding for external users?. Hide Databricks logo in embedded dashboards: Externally embedded dashbo

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAR 12 · 2026BetaNewSource ↗

Account-level Genie

Account-level Genie is now available in Beta. Users can now discover and interact with AI/BI dashboards, Genie Spaces, and Databricks Apps from all workspaces in their account from a single entry point. Account-level Genie provides a unified homepage, cross-workspace search, and

GenieAI AppsPower BI & BI Reporting
Why it mattersYou can now search and access Genie dashboards and apps across all your bank's Databricks workspaces from one central location instead of switching between them.
MAR 11 · 2026GANewSource ↗

Databricks Assistant is now Genie Code

Databricks Assistant is now Genie Code, with expanded agentic capabilities for autonomous, multi-step data tasks. Genie Code Agent mode is now generally available for data science, data engineering, and dashboard authoring. See Genie Code.

GenieAgent SkillsPower BI & BI Reporting
Why it mattersGenie Code Agent mode can now autonomously execute multi-step SQL and Python data tasks without requiring you to write or review the code yourself.
MAR 09 · 2026BetaNewSource ↗

BI compatibility mode for metric views in Power BI

BI compatibility mode for metric views in Power BI is now available in Beta. You can query Databricks metric views in Power BI using standard SQL aggregation functions by enabling BI compatibility mode when creating a connection. It automatically rewrites aggregate functions to u

Power BI & BI Reporting
Why it mattersYou can now query Databricks metric views directly in Power BI without manually rewriting aggregate functions, since BI compatibility mode automatically handles the translation.
MAR 05 · 2026GANewSource ↗

Dashboard enhancements and improvements

Embedded dashboard kebab menu: The Copy link to widget option is no longer shown in the kebab menu for embedded dashboards. Dashboard import warehouse ID fix: Importing a dashboard without a specified warehouse ID no longer clears the previously selected warehouse. End of life fo

Power BI & BI Reporting
Why it mattersNOT_RELEVANT (This item describes UI behavior changes in Databricks dashboards, not Power BI dashboards where this reader does their reporting work.)
MAR 02 · 2026PreviewNewSource ↗

Schedule data refreshes in Google Sheets

You can now schedule automatic data refreshes in the Databricks Connector for Google Sheets on an hourly, daily, or weekly basis. See Schedule data refreshes in Google Sheets.

Power BI & BI Reporting
Why it matters(Marked not directly relevant for this audience.)
MAR 02 · 2026PreviewNewSource ↗

Connect to Databricks from Microsoft Excel

The new Databricks Excel Add-in is in Public Preview and allows you to connect Microsoft Excel to your workspace, import data from tables or Metric Views, execute SQL queries, and analyze data directly in Excel. See Connect to Databricks from Microsoft Excel.

Power BI & BI Reporting
Why it mattersYou can now query Databricks tables and run SQL directly from Excel without exporting data or using Power BI as an intermediary.

Genie24 ITEMS

MAY 26 · 2026GANewSource ↗

Removed legacy Assistant slash commands

The /settings and /rename slash commands are no longer available in the notebook Genie Code Assistant chat pane. Adjust notebook settings and rename notebooks from the notebook UI instead. Other slash commands, such as /doc, /explain, /fix, /optimize, and /prettify, are unchanged

GenieAgent Skills
Why it matters(Marked not directly relevant for this audience.)
MAY 19 · 2026UpcomingNewSource ↗

Genie chat will soon be available by default for workspaces with the compliance security profile enabled

Genie chat will be available by default for workspaces with the compliance security profile enabled in June 2026. Genie chat provides a unified, full-screen interface for asking data questions in natural language. It uses existing dashboards, queries, Genie Spaces, and metric vie

Genie
Why it mattersYou'll be able to ask natural-language questions about your data directly in Databricks without manually enabling a feature, if your workspace uses compliance security settings.
MAY 15 · 2026GANewSource ↗

Share Genie Code chat threads

You can now share Genie Code chat threads with other users, groups, or service principals. Recipients receive read-only access to view the shared chat thread. See Share a chat thread.

Genie
Why it mattersYou can now share your Genie Code debugging sessions with colleagues for asynchronous code review without exporting or copying chat content manually.
MAY 14 · 2026GANewSource ↗

Genie enhancements and bug fixes

Additional Genie chat audit logs: Nine new genieChat audit events are now available for granular tracking: mcpToolInvocation, steerGenieChatConversation, updateGenieChatConversationFeedback, cancelGenieChatConversation, getGenieChatConversation, and scheduled task operations (cre

Genie
Why it matters(Marked not directly relevant for this audience.)
MAY 14 · 2026GANewSource ↗

Genie Space enhancements and bug fixes

Create API instruction limits raised: The create API now enforces the same limits as the UI for instruction creation. The maximum characters for query text has been raised from 20,000 to 40,000. Answer now in Agent mode (Public Preview): Users can click Answer now to stop Agent m

Genie
Why it matters(Marked not directly relevant for this audience.)
MAY 07 · 2026GANewSource ↗

Genie enhancements

Workspace instructions for Genie chat: Workspace admins can now create a /Workspace/.genie_workspace_instructions.md file to add custom instructions that apply to all Genie chat conversations in the workspace. See Genie chat. Atlassian and Glean MCP connections (Public Preview):

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 30 · 2026PreviewNewSource ↗

Genie scheduled tasks

Scheduled tasks are now supported in Genie. Users can set up recurring prompts to automate weekly digests or daily insights. When a task runs, chat sends you an email with the results. See Scheduled tasks.

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 29 · 2026PreviewNewSource ↗

Genie chat is now in Public Preview

Chat in Genie has moved from Beta to Public Preview. Chat provides a unified, full-screen interface for asking data questions in natural language. It uses existing Genie spaces, dashboards, and queries to answer questions with your organization's data. Workspace admins can enable

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 23 · 2026GANewSource ↗

Genie app search

Databricks Apps search: You can now search for Databricks Apps from the Genie search bar.

GenieAI Apps
Why it matters(Marked not directly relevant for this audience.)
APR 23 · 2026GANewSource ↗

Genie Code space configuration

Genie Code space configuration: Genie Code now includes tools to configure your Genie Space. You can ask it to update instructions, example questions, descriptions, and more.

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 16 · 2026GANewSource ↗

Genie Space enhancements

Reasoning traces using the API (Public Preview): Users can now access Genie's reasoning traces using the API through the GenieQueryAttachments field in the GenieMessage object. See Get message. Message comments using the API (Public Preview): Users can now add text comments to me

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 09 · 2026GANewSource ↗

Genie Space enhancements

Embed a Genie Space (Beta): You can now embed a Genie Space as an iframe in a website or application. See Embed a Genie Space. Space thumbnails: Genie Space authors can now attach thumbnails to a space. Thumbnails appear on the Genie Space's initial chat page and in Genie. See Co

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 09 · 2026GANewSource ↗

Genie enhancements

Account-level Genie is now generally available: Account-level Genie now includes Databricks Apps, Domains, and Genie. See Account-level Genie. Updated workspace Genie navigation: The workspace Genie left-hand navigation has been updated and now includes Genie Code chat history.

GenieAI Apps
Why it mattersYou can now access Genie chat history directly from the workspace navigation sidebar, making it easier to reference and reuse previous data exploration conversations without searching through separate interfaces.
APR 02 · 2026GANewSource ↗

Genie Space enhancements

Column display names: Space authors can now set user-friendly display names on table and view columns. Display names appear in query results and in downloaded CSVs. Genie Conversation API now generally available: The Genie Conversation API is now generally available. Use the API

Genie
Why it mattersYou can now label confusing database column names with business-friendly names that appear in both Genie query results and CSV exports, reducing user confusion.
APR 02 · 2026GANewSource ↗

Genie enhancements

Account Genie is now in Public Preview: Account-level Genie is now in Public Preview. Genie provides a single location to view dashboards, apps, and Genie across all workspaces. See Account-level Genie. Navigation between Genie surfaces: Users can now navigate between Account Gen

Genie
Why it matters(Marked not directly relevant for this audience.)
APR 02 · 2026GANewSource ↗

Genie enhancements

Account Genie is now in Public Preview: Account-level Genie is now in Public Preview. Genie provides a single location to view dashboards, apps, and Genie across all workspaces. See Account-level Genie. Navigation between Genie surfaces: Users can now navigate between Account Gen

Genie
Why it matters(Marked not directly relevant for this audience.)
MAR 26 · 2026GANewSource ↗

Genie Space enhancements

Share Genie Space with all account users: The share modal now includes an option to share your Genie Space with all account users. See Share a Genie Space. SQL download settings for full query results: The APIs to download full query results now respect workspace-level settings f

Genie
Why it mattersYou can now share a Genie Space with your entire bank at once instead of adding users individually, and query downloads respect your workspace security settings.
MAR 23 · 2026BetaNewSource ↗

Connect external data sources to Genie chat

You can now connect external data sources such as Google Drive or SharePoint to a chat conversation in Genie, allowing chat to search your company documents when answering questions. Each user authenticates individually using their own credentials. You can also connect custom MCP

Genie
Why it matters(Marked not directly relevant for this audience.)
MAR 19 · 2026GANewSource ↗

Genie Space enhancements and bug fixes

Inspect (Public Preview): Inspect is now in Public Preview. Inspect automatically improves standard Genie's accuracy by reviewing the initially generated SQL, authoring smaller SQL statements to verify specific aspects of the query, and generating improved SQL as needed. See Impr

Genie
Why it mattersGenie can now self-check its SQL before returning results, catching errors in complex queries without you having to manually validate the generated code.
MAR 19 · 2026GANewSource ↗

Genie Space enhancements and bug fixes

Inspect (Public Preview): Inspect is now in Public Preview. Inspect automatically improves standard Genie's accuracy by reviewing the initially generated SQL, authoring smaller SQL statements to verify specific aspects of the query, and generating improved SQL as needed. See Impr

Genie
Why it matters(Marked not directly relevant for this audience.)
MAR 13 · 2026BetaNewSource ↗

Chat in Genie

Chat in Genie is now available in Beta. Chat provides a unified, full-screen interface for talking to Genie. Genie routes your question to the most relevant Genie Space or directly answers your question agentically using available data and data assets. See Genie chat.

Genie
Why it matters(Marked not directly relevant for this audience.)
MAR 12 · 2026GANewSource ↗

Genie Space enhancements and improvements

Genie Space management APIs are generally available: The CreateSpace, UpdateSpace, GenieGetSpace, GenieListSpaces, and GenieTrashSpace APIs hare now general availability. See Use the Genie Spaces API. API instruction length fix: Resolved a bug with the maximum instruction length

Genie
Why it matters(Marked not directly relevant for this audience.)

Agent Skills09 ITEMS

MAR 21 · 2026GANewSource ↗

Supervisor Agent supports long-running tasks

Supervisor Agent now supports long-running task mode, which automatically breaks complex tasks into multiple request/response cycles using task continuation to avoid timeouts. See Supervisor Agent long-running tasks.

Agent Skills
Why it matters(Marked not directly relevant for this audience.)

AI Apps19 ITEMS

MAY 28 · 2026GANewSource ↗

Anthropic Claude Opus 4.8 now available as a Databricks-hosted model

Databricks Model Serving now supports Anthropic Claude Opus 4.8 as a Databricks-hosted model. To access this model, use: Foundation Model APIs pay-per-token Query reasoning models Query vision models

AI Apps
Why it mattersYou can now call Claude Opus 4.8 directly from Databricks SQL notebooks to generate summaries, documentation, or detect anomalies in your data without leaving your workspace.
MAY 20 · 2026GANewSource ↗

Vector Search storage-optimized endpoints are GA

Vector Search storage-optimized endpoints are now generally available. Storage-optimized endpoints have a larger capacity (over one billion vectors at dimension 768) and provide 10-20x faster indexing than standard endpoints. Pricing is optimized for the larger number of vectors.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAY 20 · 2026BetaNewSource ↗

Serve custom LLMs with Custom Model Serving

You can now serve custom and fine-tuned LLMs on Databricks with a vLLM engine, including multimodal models and PEFT recipes that Foundation Model APIs does not support. Custom LLM Serving is in Beta. See Serve custom LLMs with Custom Model Serving.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAY 19 · 2026GANewSource ↗

Google Gemini 3.5 Flash now available as a Databricks-hosted model

Model Serving now supports Google Gemini 3.5 Flash as a Databricks-hosted model. You can access this model using Foundation Model APIs. Customers are responsible for ensuring their compliance with applicable terms.

AI Apps
Why it mattersYou can now use Google's Gemini 3.5 Flash model directly from Databricks Model Serving to generate text summaries or classifications of your financial data without routing requests to external APIs.
APR 29 · 2026UpcomingNewSource ↗

User authorization for Databricks Apps will soon be available for workspaces with the compliance security profile enabled

In early June 2026, user authorization for Databricks Apps will be automatically enabled for workspaces with the compliance security profile enabled. User authorization allows apps to act with the identity of the app user, so apps can access resources on the user's behalf while e

AI Apps
Why it matters(Marked not directly relevant for this audience.)
APR 24 · 2026GANewSource ↗

OpenAI GPT-5.5 and GPT-5.5 Pro now available as Databricks-hosted models

Mosaic AI Model Serving now supports OpenAI GPT-5.5 and GPT-5.5 Pro as Databricks-hosted models. You can access these models using Foundation Model APIs pay-per-token. Customers are responsible for ensuring their compliance with applicable terms.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
APR 21 · 2026BetaNewSource ↗

CPU_MEDIUM and CPU_LARGE workload types for Model Serving

The CPU_MEDIUM and CPU_LARGE workload types for Model Serving are now in Beta. These workload types let you trade concurrency for more memory per worker on the same CPU hardware. Use them when your model needs more memory than the standard CPU workload type provides. See Compute

AI Apps
Why it matters(Marked not directly relevant for this audience.)
APR 16 · 2026GANewSource ↗

Anthropic Claude Opus 4.7 now available as a Databricks-hosted model

Mosaic AI Model Serving now supports Anthropic Claude Opus 4.7 as a Databricks-hosted model. To access this model, use: Foundation Model APIs pay-per-token Query reasoning models Query vision models

AI Apps
Why it mattersYou can now call Claude Opus 4.7 directly from Databricks SQL or Python to summarize bank data narratives, validate data quality issues in natural language, or generate Power BI report descriptions without external API calls.
APR 13 · 2026BetaNewSource ↗

Vector Search retrieval quality

Mosaic AI Vector Search provides built-in retrieval quality evaluation that measures and compares the relevance of different search strategies on your data. For more information, see Evaluate vector search retrieval quality.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
APR 07 · 2026GANewSource ↗

Git-backed app deployments are now generally available

You can now deploy Databricks apps directly from Git repositories. Configure a Git reference, specify a source code path within a repository, and optionally enforce Git-only deployments across a workspace. See Deploy from a Git repository.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAR 27 · 2026PreviewNewSource ↗

ai_classify and ai_extract now support v2 signatures

The ai_classify and ai_extract AI Functions now support new v2 signatures with improved quality and performance, greater flexibility, and native composability with ai_parse_document to power end-to-end document processing workflows. See ai_classify function and ai_extract functio

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAR 17 · 2026GANewSource ↗

OpenAI GPT-5.4 mini and GPT-5.4 nano now available as Databricks-hosted models

Mosaic AI Model Serving now supports OpenAI GPT-5.4 mini and GPT-5.4 nano as Databricks-hosted models. You can access these models using Foundation Model APIs pay-per-token. Customers are responsible for ensuring their compliance with the terms of OpenAI's Acceptable Use Policy.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAR 13 · 2026GANewSource ↗

Empty vector search endpoints no longer incur charges

Vector search endpoints are now only charged after an index has been created, and 24 hours after the last index is deleted from the endpoint, the endpoint no longer incurs any charges. For more information, see Vector search cost management guide.

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAR 09 · 2026GANewSource ↗

Databricks Apps compute sizing support for compliance security profile standards

Compute sizing for Databricks Apps now supports all compliance security profile standards supported by Databricks and is available by default for workspaces with the compliance security profile enabled. For a full list of supported compliance standards, see Compliance security pr

AI Apps
Why it matters(Marked not directly relevant for this audience.)
MAR 06 · 2026GANewSource ↗

Google Gemini 3.1 Flash Lite now available as a Databricks-hosted model

Mosaic AI Model Serving now supports Google Gemini 3.1 Flash Lite as a Databricks-hosted model. To access this model, use: Foundation Model APIs pay-per-token Query vision models Batch inference workloads using AI Functions

AI Apps
Why it mattersYou can now run Gemini 3.1 Flash Lite directly within Databricks for document analysis or data enrichment tasks without routing requests outside your environment.
MAR 05 · 2026GANewSource ↗

OpenAI GPT-5.4 now available as a Databricks-hosted model

Mosaic AI Model Serving now supports OpenAI GPT-5.4 as a Databricks-hosted model. You can access this model using Foundation Model APIs pay-per-token. Customers are responsible for ensuring their compliance with the terms of OpenAI's Acceptable Use Policy.

AI Apps
Why it mattersYou can now call GPT-5.4 directly from Databricks SQL queries or Python without leaving your workspace, enabling real-time text generation for data enrichment or anomaly explanation tasks.