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.
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.
MLflow trace storage in Unity Catalog tables will be available by default for workspaces with the compliance security profile enabled in mid-August 2026. Store MLflow traces in Unity Catalog tables for scalable, governed trace storage: storage is unlimited, traces are stored in O
You can now register Scala and Java user-defined functions (UDFs) in Unity Catalog and reuse them across notebooks, jobs, and SQL warehouses with Unity Catalog governance. Reuse your existing JVM logic and get better performance than Python UDFs on all compute, including serverle
Databricks plans to launch the system.governance.governed_tags system table in Beta. This table contains versioned records for all governed tag keys in your account, including customer-created and system-generated tags.
Data Classification is now available by default for workspaces with the compliance security profile enabled and either C5, TISAX, or IRAP controls selected.
The MANAGE privilege lets users manage privileges on, transfer ownership of, and delete an object without being its owner. Generally, usage privileges (USE CATALOG and USE SCHEMA) are prerequisites for interacting with a Unity Catalog object. Today, the MANAGE privilege on a cata
In an upcoming release, Request for Access will be enabled by default for all workspaces, and access requests will be routed to the owner of the requested Unity Catalog object via email. You can configure access request destinations at any time in the metastore settings. The lega
The SharePoint connector in Lakeflow Connect will soon be generally available. You can ingest files and structured data from SharePoint sites into Databricks for transformation, analysis, and downstream pipelines. See SharePoint connector.
The Google Drive connector in Lakeflow Connect will soon be generally available. You can ingest files from Google Drive into Databricks for transformation, analysis, and downstream pipelines. See Google Drive connector.
You can now store, govern, and access secrets as securable objects in Unity Catalog. A Unity Catalog secret uses the three-level namespace (catalog.schema.secret) and is governed by Unity Catalog privileges, so you can apply the same access controls and auditing that you use for
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. For more info
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
Materialized view and streaming table refreshes in Databricks SQL now inherit custom tags from the enclosing SQL warehouse environment. These tags propagate to billing surfaces like system.billing.usage, enabling proper cost attribution of materialized view and streaming table up
In early August 2026, continuous Lakeflow Spark Declarative Pipelines and jobs will receive updates to simplify configuration and state management. Continuous pipelines You will be able to configure a continuous schedule directly from the pipeline page, including job-level settin
The SQL alert task in Lakeflow Jobs is generally available and will be available by default in your workspace. 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 o
You can now use Unity Catalog permissions to restrict which task-specific AI Functions your organization can access, independent of foundation model access. Contact your account team to enable this feature. See AI Functions Unity Catalog permissions.
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.
You can now create a materialized view that is compatible with external Iceberg readers. This feature is in Public Preview. To enable it, reach out to your Databricks account team. See Create a materialized view compatible with external Iceberg readers.
This serverless compute release includes updates from Databricks Runtime 18. New features Lakeflow Spark Declarative Pipelines streaming query ID: Lakeflow Spark Declarative Pipelines can now set the streaming query ID on demand. IP address functions (Public Preview): New SQL fun
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 disabled, the refresh uses standard performance mode, which consumes fewer DBUs. For more about perf
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. Row filtering applies during both the initial load
The Veeva Vault connector is now available in Lakeflow Connect in Beta. Workspace admins can control access to this feature from the Previews page. The connector uses Veeva's Direct Data API to ingest all standard objects, custom objects, system tables, and audit trail tables fro
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 tables. Use it to serve analytical data to applications, run operat
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. The task returns its evaluation state as a task output value, so downstream tasks can branch on the result. See SQL alert task for jobs.
You can now govern Databricks-hosted LLMs in Unity Catalog using model services, currently in Beta. A model service is a Unity Catalog securable that represents a governed LLM endpoint, so you can define an endpoint once and share it across workspaces using Unity Catalog privileg
Parquet v2 is now generally available for Delta Lake tables in Databricks Runtime 18.1 and above. Parquet v2 uses advanced encodings, v2 data page headers, and INT64 timestamps to improve query performance and reduce table sizes. To use, set the delta.parquet.format.version table
The managed Microsoft Dynamics 365 connector in Lakeflow Connect is now generally available. The connector allows you to ingest CRM and ERP data from Dynamics 365 into Databricks using Azure Synapse Link. See Microsoft Dynamics 365 connector.
You can now define parameters in metric views to bind values at query time, serving many query variants from a single definition instead of maintaining a separate metric view per variant. See Use parameters with metric views.
Data Classification is now available by default for workspaces with the compliance security profile enabled, and either HIPAA, HITRUST, PCI-DSS, or FedRAMP Moderate controls or no specific compliance standard selected.
You can now use ALTER STREAMING TABLE and ALTER MATERIALIZED VIEW with SET OWNER TO to change the owner of streaming tables and materialized views backed by standalone pipelines created in Databricks SQL. See Use ALTER statements with pipeline datasets.
You can now add data quality expectations to materialized views created in Databricks SQL using the CONSTRAINT expectation_name EXPECT (expectation_expr) clause. Expectations let you validate records as they flow through the standalone pipeline that backs the materialized view, a
Managed agent memory gives your AI agents long-term memory across conversations, with Databricks running the infrastructure and isolating each scope's memories for you. Memory is stored in Unity Catalog memory stores, governed as Unity Catalog securables and accessed through the
The Discover page is now in Public Preview. Discover is a curated browsing experience that helps users find data assets governed by Unity Catalog without requiring deep knowledge of catalog hierarchies. Use domains and subdomains to organize tables, dashboards, and Genie Spaces b
You can now enable access requests at the Unity Catalog metastore level. This feature also lets you set a metastore-level destination that's inherited by all catalogs, schemas, and other objects without their own destination. By enabling metastore-level access requests, users can
The legacy compute_preview system schema is deprecated and will be removed from the system catalog. Use the system.compute schema instead. For a list of current system schemas and tables, see System tables reference.
The Square connector in Lakeflow Connect is now available in Beta. The connector ingests point-of-sale data such as payments, orders, customers, catalog items, and inventory from Square into Databricks. See Square connector.
The Wiz Audit Logs connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest audit log entries, issues, and vulnerability findings from Wiz into Databricks. See Wiz Audit Logs connector.
The Netskope Logs connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest event and alert logs from Netskope into Databricks. See Netskope Logs connector.
The Workday Reports connector in Lakeflow Connect now supports incremental ingestion in Beta. If you configure a cursor column for a report, the connector ingests only the rows that have changed since the last pipeline run, improving performance and reducing costs. See Ingest Wor
The Salesforce Marketing Cloud connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest marketing data, including campaigns, journeys, email engagement events, and data extensions, from Salesforce Marketing Cloud into Databricks. See Salesforce M
Syncing comments on foreign tables is now in Beta. Lakehouse Federation can sync table and column comments from supported external data sources to foreign tables in Unity Catalog. Synced comments appear in table metadata, including Catalog Explorer, DESCRIBE, and DESCRIBE EXTENDE
Lakeflow Designer will be available by default for workspaces with the compliance security profile enabled in late July 2026. Lakeflow Designer is a visual, no-code experience for preparing and transforming data on a drag-and-drop canvas, with all workflows backed by production-r
Lakeflow Designer is now generally available. Lakeflow Designer is a visual, no-code experience for preparing and transforming data on a drag-and-drop canvas, with all workflows backed by production-ready code governed by Unity Catalog. Lakeflow Designer lets analysts build, prev
You can now discover, install, and run third-party data and AI applications from Databricks Marketplace directly in your own Unity Catalog-governed workspace. The provider's code stays closed-source, and you authorize any external access the app needs when you install it. Open Ma
You can now use an Iceberg REST Catalog client, such as Snowflake or OSS Spark, to read OpenSharing shares secured with OpenID Connect (OIDC) federation. For details, see Read data shared using Open ID Connect (OIDC) federation from an Iceberg client and Share with Iceberg recipi
You can now configure the recovery period for dropped Unity Catalog managed tables. By default, tables are recoverable for 7 days after being dropped using the UNDROP TABLE command. You can set the recovery period to 0 hours (to immediately purge dropped data) or between 7–30 day
Managed disaster recovery (DR) is now in Public Preview. Managed DR replicates your Unity Catalog metadata, managed table data, and workspace assets to a secondary region, and provides a stable URL that survives failover so downstream clients do not need to be reconfigured. You c
Auto time-to-live (auto-TTL) is now generally available. Auto-TTL automatically deletes rows from Unity Catalog managed Delta Lake tables, managed Apache Iceberg tables, and streaming tables based on a DATE or TIMESTAMP column. See Automatic row deletion with auto time-to-live.
You can now convert an existing partitioned Delta Lake table to liquid clustering with ALTER TABLE ... REPLACE PARTITIONED BY WITH CLUSTER BY. Conversion minimizes reader and writer downtime and supports both external and managed tables. This feature is generally available in Dat
The Zerobus Ingest connector in Lakeflow Connect will be enabled by default for workspaces with the compliance security profile enabled in mid-July 2026. Zerobus Ingest is a push-based ingestion API that writes data directly into Unity Catalog Delta tables. See Zerobus Ingest con
Inference tables for custom model serving endpoints now ingest through endpoint telemetry. Request and response payloads are delivered to a Unity Catalog inference table view within seconds, with configurable sampling. Existing inference tables are not affected. Enable inference
ABAC GRANT policies are now in Beta. GRANT policies extend attribute-based access control to dynamically grant Unity Catalog privileges to securable objects whose governed tags match a condition, instead of granting privileges on each object individually. In Beta, a GRANT policy
The ai_extract function is now generally available. This function extracts structured data from text and documents according to a schema you provide, supporting nested objects, arrays, type validation, citations, and confidence scores. See ai_extract function. For a no-code UI to
You can now add Unity Catalog volumes as subagent tools in your Supervisor Agent. See Use Supervisor Agent to create a coordinated multi-agent system.
Endpoint telemetry for custom model serving endpoints is now generally available. Configure endpoint telemetry to persist OpenTelemetry logs, traces, and metrics from your endpoints to Unity Catalog tables. See Persist custom model serving data to Unity Catalog.
Lakeflow Connect now supports a managed connector for ingestion from Zip. See Zip connector.
Over the next couple of weeks, identity federation is being enabled by default for all new Databricks workspaces, including workspaces that are not attached to a Unity Catalog metastore. This change does not affect existing workspaces. See Identity federation.
The @dp.update_flow decorator in Lakeflow Spark Declarative Pipelines lets you add an update flow that writes to a sink in update output mode, emitting only the rows that change in each batch. Unlike append flows, update flows support stateful aggregations without requiring a wat
The Lakeflow Spark Declarative Pipelines documentation is reorganized: all conceptual topics are now grouped under Concepts.
The @dp.update_flow decorator in Spark Declarative Pipelines on Lakeflow lets you add an update flow that writes to a sink in update output mode, emitting only the rows that change in each batch. Unlike append flows, update flows support stateful aggregations without requiring a
The Spark Declarative Pipelines on Lakeflow documentation is reorganized: all conceptual topics are now grouped under Concepts.
External lineage (formerly Bring Your Own Lineage) in Unity Catalog is now generally available. You can register assets that live outside Databricks, such as Salesforce or MySQL sources and Tableau or Power BI dashboards, so that a single lineage graph spans your full data flow.
The Monday.com connector in Lakeflow Connect is now available in Beta. The connector ingests work management data such as boards, users, teams, and activity logs from Monday.com into Databricks. See Monday.com connector.
The Zoho Books connector in Lakeflow Connect is now available in Beta. The connector ingests accounting data such as invoices, bills, contacts, and bank transactions from Zoho Books into Databricks. See Zoho Books connector.
Lakeflow Connect now supports a managed connector for ingestion from Aha!. See Aha! connector.
Databricks SQL now supports informational UNIQUE constraints on Unity Catalog Delta Lake tables. Foreign keys can reference UNIQUE columns, and RELY on a UNIQUE constraint enables join elimination and DISTINCT simplification on Photon-enabled compute. See CONSTRAINT clause.
The managed SharePoint connector in Lakeflow Connect now supports structured file ingestion (CSV, JSON, XML, Excel, Parquet, Avro, ORC), file metadata ingestion, file filters, schema evolution modes, and schema hints. These capabilities replace the previous unstructured-only inge
You can now enable external Delta and Iceberg clients to read streaming tables and materialized views managed by a pipeline through the Unity Catalog and Iceberg catalog REST APIs, without copying the data. See Enable external data access to streaming tables and materialized view
Foundation model Unity Catalog permissions is now generally available. This feature requires enablement by your Databricks account team. Account admins can use Unity Catalog permissions on the system.ai schema to control which Databricks-hosted foundation models your organization
Use the Databricks Excel Add-in to write data from Microsoft Excel back to a Unity Catalog table. Create a new table or overwrite an existing table in Databricks without leaving Excel. See Write data back to Databricks using the Databricks Excel Add-in.
Table update triggers in Lakeflow Jobs can now monitor data shared through Delta Sharing and system tables, in addition to local tables. You can trigger a job whenever a provider updates a shared table or view, or whenever new operational data lands in a system table. This featur
The Zoom Logs connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest user sign-in/sign-out activity logs and admin operation logs from Zoom into Databricks. See Zoom Logs connector.
Lakeflow Connect now supports a managed connector for ingestion from Pendo. See Pendo connector.
The managed RabbitMQ connector in Lakeflow Connect is now available in Beta. The connector allows you to stream messages from RabbitMQ classic queues into streaming tables in Unity Catalog. See RabbitMQ connector.
The Slack Access and Integration Logs connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest workspace access logs and app integration change logs from Slack into Databricks. See Slack Access and Integration Logs connector.
Column popularity is now available in the Catalog Explorer UI. To find the most popular columns in a table, go to the table's Overview tab. Popularity is determined by the number of queries against the table that read from a given column. See Popularity.
The following updates were made to Lakeflow Designer: Bidirectional AI-generated descriptions: Each operator now displays an AI-generated description of what it does. Editing the description reconfigures the operator. N-way Combine: The Combine operator now accepts any number of
Query-based connectors in Lakeflow Connect are now generally available. 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 sources in
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).
Genie One now has a Managed MCP Server (Beta). Any agent can ask natural-language data questions across Genie Spaces and Unity Catalog data and receive grounded answers. See Available managed servers.
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
Real-time mode in Lakeflow Spark Declarative Pipelines is now in Public Preview. Achieve end-to-end latency as low as five milliseconds for operational streaming workloads such as fraud detection, real-time personalization, and instant decision-making. Real-time mode uses the new
Refresh policies and the EXPLAIN CREATE MATERIALIZED VIEW statement are now generally available for materialized views. Use refresh policies to control when Databricks performs incremental or full refresh, optimizing cost and predictability. Use EXPLAIN CREATE MATERIALIZED VIEW t
Real-time mode in Spark Declarative Pipelines on Lakeflow is now in Public Preview. Achieve end-to-end latency as low as five milliseconds for operational streaming workloads such as fraud detection, real-time personalization, and instant decision-making. Real-time mode uses the
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.
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.
"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
The following Apache Iceberg capabilities in Unity Catalog are now generally available: Unity Catalog managed Iceberg tables: Create and manage Iceberg tables in Unity Catalog using Databricks Runtime, Databricks SQL, or external Iceberg-compatible engines. Managed Iceberg tables
"Fields" replaces "Dimensions": Genie Agents (formerly 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 mult
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
Edits to jobs and pipeline settings in the UI now automatically update YAML. See Edit bundle resources.
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
You can now add Unity Catalog tables as subagent tools in your Supervisor Agent. See Use Supervisor Agent to create a coordinated multi-agent system.
The Spark Declarative Pipelines on Lakeflow 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 Use sinks in pip
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
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
Environment versions for Spark Declarative Pipelines on Lakeflow 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 C
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.
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.
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.
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
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
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.
Export context as metric view: You can now export the context from a Genie Agent (formerly Genie Space) as a metric view to centrally define your business semantics. See Export a Genie Agent as a metric view. Iframe monitoring (Beta): Messages from iframe-embedded Genie One space
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.
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.
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.
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
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.
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.
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.
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
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
Lakeflow Spark Declarative Pipelines update history is now retained for 60 days, up from 30 days. The extended retention applies to updates shown in the pipeline UI and returned by the Pipelines REST API.
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.
The Zendesk Support connector in Lakeflow Connect is now generally available. See Zendesk Support connector overview.
Spark Declarative Pipelines on Lakeflow update history is now retained for 60 days, up from 30 days. The extended retention applies to updates shown in the pipeline UI and returned by the Pipelines REST API.
The Confluence connector in Lakeflow Connect is now Generally Available. See Confluence connector.
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
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
The Activity details toggle in the SQL warehouse monitoring UI is now generally available. View color-coded annotations on the Running clusters chart that explain why a warehouse remains active, including query activity, fetching queries, open sessions, and idle states. Hover ove
Databricks SQL alerts now support all compliance security profile standards that Databricks supports, and are available by default for workspaces with the compliance security profile enabled. Use Databricks SQL alerts to monitor data and KPIs by running queries on a schedule, eva
The Genie Code system table (system.access.assistant_events) now records only user-submitted Genie Code interactions, such as side-panel chat, agent mode, and the inline assistant (%assistant). Background and automated requests, such as autocomplete (ghost text), quick-fix sugges
Rolling out starting June 22, the statement_text column in system.query.history returns <Redacted> for users who are not account admins or members of the databricks_pii_access account-level group. Audit any workloads that read statement_text and confirm the principal running
Genie Chat prompt monitoring (Beta): Prompts and responses initiated by Genie Chat are now visible in Genie Agents (formerly Genie Spaces) monitoring when the sharing Beta is enabled. See Test and monitor a Genie Agent. Knowledge store edit confirmation dialog: A confirmation dia
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
The workspace sidebar navigation has 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 is also
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
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
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
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
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
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
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.
Dashboard relationships (Public Preview): Build complex multi-fact data models scoped to an AI/BI dashboard. See Dashboard relationships.
You can now use the Databricks Genie mobile app to access Genie One from iOS and Android devices. Download the app from the Apple App Store or Google Play Store. Using the Genie mobile app, you can: Ask data questions in natural language. View and interact with AI/BI dashboards,
Save visualizations to a dashboard: You can now save Genie Agent (formerly Genie Space) visualization outputs to a dashboard. See Save a visualization to a dashboard. Reference previous visualizations: Select and reference visualizations from previous prompts in follow-up prompts
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
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.
Direct link to associated dashboard: Genie One now surfaces a direct link to the associated dashboard when hovering over entities in the chat pane. Ask Genie One on the workspace homepage: Ask Genie One has been added to the workspace homepage. See Homepage.
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.
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.
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
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
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.
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.
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
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
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.
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
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.
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 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
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
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
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.
You can now mention Genie Code in a notebook comment to get AI help without leaving the comment thread. Type @ in a comment, select Genie Code, and enter your request. Genie Code replies inline in the thread. See Code comments.
The Databricks Genie app in Microsoft Teams is now in Public Preview. The app brings Genie into Microsoft Teams so users can ask data questions and get answers without leaving Microsoft Teams. See Databricks Genie app in Microsoft Teams.
Save a chat as a Genie Agent: You can now save a Genie One thread as a Genie Agent. See Create an agent. Conversation sharing (Public Preview): Sharing an individual Genie Agent conversation is now in Public Preview. See Share a conversation. Access email terminology: Access-gran
The Lakebridge Agentic Converter is in Beta. Use it to convert legacy SQL dialects, such as T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata, to ANSI SQL in migration projects in your workspace. Powered by Genie Code, the converter analyzes each source script, validates
Genie One and Genie Agents usage is free through July 31, 2026. Budget controls do not apply during this time.
You can now configure front-end Private Link for account-level Genie One. Turn on the Front-end Private Link for Custom URLs and Account preview to get started. See Configure inbound Private Link for account-level resources.
Genie Spaces renamed to Genie Agents: Genie Spaces are now called Genie Agents. SQL expressions grouped with example SQL: In the authoring experience, SQL expressions are now grouped with example SQL queries so you can define and manage both in one place. See Define SQL expressio
Starting July 8, 2026 at 00:00 UTC, Genie Agents is billed following a pay-as-you-go pricing model that includes 150 DBUs of free large language model (LLM) usage every month, equivalent to about $10.50 in the US East region. Usage beyond the free amount is billed in DBUs, reflec
Genie Spaces are now called Genie Agents. The name changed across the documentation, but the product's capabilities are unchanged. For more information, see Genie Agents.
Starting July 7, 2026 at 00:00 UTC, Genie products, including Genie Spaces, Genie Code, and Genie One, are billed following a pay-as-you-go pricing model that includes 150 DBUs of free large language model (LLM) usage every month, equivalent to about $10.50 in the US East region.
Budgets, including budgets for Unity AI Gateway, are now generally available. Budgets let admins define spending thresholds. For requests managed through Unity AI Gateway, including Genie interactions, admins can set additional per-user thresholds and overrides, with configurable
Genie Spaces now follows a pay-as-you-go (PAYGO) pricing model. Each user receives a free monthly amount of large language model (LLM) usage, and usage beyond the free amount is billed in DBUs. With this change, the previous throughput limits for the Genie Spaces UI and Conversat
Agent mode is generally available: Agent mode in Genie Agents (formerly Genie Spaces) is now generally available. Agent mode uses multi-step reasoning to answer complex, exploratory questions with a report that includes citations, visualizations, and supporting tables. See Agent
Agent mode in Genie Spaces will be enabled by default for workspaces with the compliance security profile enabled in July 2026. Agentic mode uses multi-step reasoning to answer complex business questions by running multiple SQL queries, iterating on results, and returning a repor
The Chat/Agent mode selector has been removed from the Genie Code pane. Genie Code now runs exclusively in Agent mode. If you prefer a conversational response without autonomous task execution (what was previously called Chat mode), include that instruction in your prompt. For ex
Agent mode in Genie Agents will be enabled by default for workspaces with the compliance security profile enabled in July 2026. Agentic mode uses multi-step reasoning to answer complex business questions by running multiple SQL queries, iterating on results, and returning a repor
Genie Code space authoring skills: Genie Code now includes dedicated skills for authoring and maintaining Genie Agents (formerly Genie Spaces). See Create a Genie Agent and Debug responses with Genie Code.
Genie Spaces is being renamed to Genie Agents. In early July 2026, Genie Spaces is renamed to Genie Agents to better reflect the full capabilities of this feature.
In July 2026, Unity AI Gateway budgets will be generally available for all accounts on AWS, Azure, and Google Cloud. Unity AI Gateway budgets let admins define spending thresholds for requests managed through Unity AI Gateway and Genie, including shared and per-user limits, with
Providers can now share a Genie Space with users outside their organization using OpenSharing. Databricks creates a point-in-time snapshot of the space's data assets and instructions. Recipients can mount the share to create a local Genie Space. See Share a Genie Space using Open
Providers can now share a Genie Agent with users outside their organization using OpenSharing. Databricks creates a point-in-time snapshot of the space's data assets and instructions. Recipients can mount the share to create a local Genie Agent. See Share a Genie Agent using Open
You can now connect Genie to Microsoft Copilot Cowork through the Genie managed MCP server, so users can ask natural-language questions about their Databricks data without leaving Copilot Cowork. See Genie plugin for Microsoft Copilot Cowork.
Genie Code now uses models served through OpenAI on Databricks, in addition to models served through Azure OpenAI and Anthropic on Databricks, when partner-powered AI features are enabled. For the model provider used by each feature, see Partner-powered AI features.
The Databricks Genie app in Microsoft Teams is now available in Beta. The app brings Genie into Microsoft Teams so users can ask data questions and get answers without leaving Microsoft Teams. Chat with the app in a direct message or mention @Databricks Genie in a channel or grou
The Databricks Genie app for Slack is now available in Public Preview. The app brings Genie into Slack so users can get answers to data questions without leaving Slack. Send a direct message to the app or mention @Genie in a channel or group DM, and answers route through Genie or
Genie, the Databricks AI experience for business users, has been renamed to Genie One. The feature and its capabilities are unchanged. See Use Genie One.
On July 6, 2026, Genie products, including Genie Spaces, Genie Code, and Genie, are moving to a pay-as-you-go pricing model. What's changing Free usage: Each user receives 150 DBUs of free large language model (LLM) usage every month, equivalent to about $10.50 in the US East reg
On July 6, 2026, Genie products will move to a pay-as-you-go pricing model. Each user receives 150 DBUs of free LLM usage every month, equivalent to about $10.50 in the US East region. Usage beyond the free allowance is billed in DBUs. For more information, see what's coming. To
Genie Code now offers an auto-approve mode that approves tool actions, like running code or editing notebooks, without prompting you for each request. An AI classifier reviews each action and blocks risky ones. Auto-approve is a productivity feature, not a security boundary. Data
Workspace-level Genie One customization: Workspace admins can now customize Genie One at the workspace level. Under workspace settings, admins can configure colors, a logo, a markdown welcome message, and pinned content. See Customize the Genie One homepage. Certified object prio
Genie Code will soon use models served through OpenAI on Databricks, in addition to models served through Azure OpenAI and Anthropic on Databricks, when partner-powered AI features are enabled.
Full page Genie Code is now available in Beta. The full page experience is a command center for Genie Code, where the active thread is shown prominently, surfacing assets like notebooks and files alongside it as tabs when needed. You can run multiple threads in parallel, switch b
Embedding a Genie Space as an iframe will be available by default for workspaces with the compliance security profile enabled in June 2026. Embedding a Genie Space lets business users interact with Genie directly within your internal tools or portals without navigating to Databri
Embedding a Genie Agent as an iframe will be available by default for workspaces with the compliance security profile enabled in June 2026. Embedding a Genie Agent lets business users interact with Genie directly within your internal tools or portals without navigating to Databri
Agent mode thinking traces (Public Preview): Agent mode thinking traces now cite the definitions applied to answer questions. For example, "best selling product" is defined as the product with the most total sales. MCP conversation sharing bug fix (Beta): Fixed a bug where conver
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
Genie Code Agent mode is now available by default for workspaces with the compliance security profile enabled and HIPAA, PCI-DSS, and FedRAMP Moderate controls selected. With Agent mode, Genie Code can automate multiple steps from a single prompt, including retrieving relevant as
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
Chat in Genie One will be available by default for workspaces with the compliance security profile enabled in June 2026. Chat in Genie One provides a unified, full-screen interface for asking data questions in natural language. It uses existing dashboards, queries, Genie Spaces,
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.
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
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
Additional chat audit logs in Genie One: Nine new genieChat audit events are now available for granular tracking: mcpToolInvocation, steerGenieChatConversation, updateGenieChatConversationFeedback, cancelGenieChatConversation, getGenieChatConversation, and scheduled task operatio
Additional chat audit logs in Genie One: Nine new genieChat audit events are now available for granular tracking: mcpToolInvocation, steerGenieChatConversation, updateGenieChatConversationFeedback, cancelGenieChatConversation, getGenieChatConversation, and scheduled task operatio
Additional chat audit logs in Genie One: Nine new genieChat audit events are now available for granular tracking: mcpToolInvocation, steerGenieChatConversation, updateGenieChatConversationFeedback, cancelGenieChatConversation, getGenieChatConversation, and scheduled task operatio
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
Additional chat audit logs in Genie One: Nine new genieChat audit events are now available for granular tracking: mcpToolInvocation, steerGenieChatConversation, updateGenieChatConversationFeedback, cancelGenieChatConversation, getGenieChatConversation, and scheduled task operatio
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):
Workspace instructions for chat in Genie One: Workspace admins can now create a /Workspace/.genie_workspace_instructions.md file to add custom instructions that apply to all chat conversations in the workspace. See Chat in Genie One. Atlassian and Glean MCP connections (Public Pr
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.
Scheduled tasks are now supported in Genie One. 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.
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
Chat in Genie One 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 en
Databricks Apps search: You can now search for Databricks Apps from the Genie search bar.
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.
Databricks Apps search: You can now search for Databricks Apps from the Genie One search bar.
You can now enable web search on your Supervisor Agent to answer questions that require current information from the public web. The supervisor returns a synthesized answer with source citations. Web search is also available as a web_search tool in the Supervisor API. See Use Sup
You can now add another Supervisor Agent as a subagent tool, enabling nested multi-agent orchestration. See Use Supervisor Agent to create a coordinated multi-agent system.
You can now add vector search indexes as subagent tools in your Supervisor Agent. See Use Supervisor Agent to create a coordinated multi-agent system.
You can now add custom MCP servers and custom agents hosted in Databricks Apps as subagents in your Supervisor Agent. See Use Supervisor Agent to create a coordinated multi-agent system.
Model Serving now supports Thinking Machine Labs Inkling as a Databricks-hosted model. This mixture of experts (MoE) model supports text and image inputs, a 1 million token context window, and is optimized for coding, reasoning, and agentic tool-use tasks. You can access this mod
Model Serving now supports OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna 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.
For custom model serving endpoints with a tensor-based input signature, you can now send the request body as a serialized KServe v2 ModelInferRequest with Content-Type: application/x-protobuf, instead of JSON. This feature is in Public Preview and is only available on endpoints d
Model Serving now supports GLM 5.2 as a Databricks-hosted model. This mixture of experts (MoE) model supports a 1 million token context window and is optimized for long-horizon reasoning, coding, and agentic tool use. You can access this model using Foundation Model APIs. Custome
Model Serving now supports Google Gemini 3.1 Flash Image and Gemini 3 Pro Image as Databricks-hosted models. You can access these models using Foundation Model APIs. Customers are responsible for ensuring their compliance with applicable terms.
Grok models will soon be available as pay-per-token foundation models in Databricks Model Serving. See Supported foundation models on Model Serving.
Model Serving now supports Anthropic Claude Sonnet 5 as a Databricks-hosted model. Designed for coding, agentic workflows, and professional work at scale, Claude Sonnet 5 delivers near-Opus-level intelligence with Sonnet's cost efficiency and speed. You can access this model usin
The ai_classify function is now generally available. This function classifies text content according to custom labels you provide, with support for label descriptions, global instructions, and multi-label classification. See ai_classify function. For a no-code UI to build, valida
Databricks Model Serving now supports Anthropic Claude Fable 5 as a Databricks-hosted model. Claude Fable 5 is built for autonomous knowledge work and coding, designed to handle long-running, complex, and asynchronous tasks with less need for human intervention. To access this mo
The ai_extract and ai_classify SQL AI Functions will be available by default for workspaces with the compliance security profile enabled and HIPAA, PCI-DSS, FedRAMP Moderate, CCCS Medium (Protected B), UK Cyber Essentials Plus, HITRUST, IRAP, C5, and TISAX controls selected in mi
Vector Search has been renamed to AI Search. You can now create full text search indexes without any vectors or embeddings needed. See Databricks AI Search.
You can now run a Databricks app across multiple instances behind a single app URL. Horizontal scaling provides higher availability, zero-downtime deployments, and session affinity, which routes every request from a given user to the same instance so the app can keep per-user dat
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
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.
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.
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.
Model Serving now supports Alibaba Cloud Qwen3.5 122B A10B as a Databricks-hosted model. You can access this model using Foundation Model APIs. Qwen3.5 122B A10B is available in Public Preview. Customers are responsible for ensuring their compliance with applicable terms.
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
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.