July 2026

Azure Databricks released these features and improvements in July 2026.

Note

Releases are staged. Your Azure Databricks account might not be updated until a week or more after the initial release date.

Python UDTFs in Unity Catalog are now generally available

July 28, 2026

Registering Python user-defined table functions (UDTFs) in Unity Catalog is now generally available in Databricks Runtime 18. A Unity Catalog Python UDTF is a governed function that returns a table, invoked in the FROM clause of a SQL statement to return multiple rows and columns. Unity Catalog Python UDTFs run on serverless compute, classic compute with standard access mode, and SQL warehouses.

See Python user-defined table functions (UDTFs) in Unity Catalog and Databricks Runtime 18 LTS.

Unit testing for pipelines (Beta)

July 26, 2026

You can now write and run Python unit tests for your Spark Declarative Pipelines on Lakeflow transformation logic directly in the Lakeflow Pipelines Editor. Validate Python and SQL transformations against mock data using catalog-table redirection, including Auto CDC, streaming tables, expectations, and append flows. Test edge cases and iterate using mock inputs for supported table-identifier operations; review the isolation limitations before running tests. This feature is in Beta.

See Unit testing for pipelines.

Databricks Runtime maintenance updates (07/24)

July 24, 2026

New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see:

Diagnose and fix Lakebase issues with Genie, using telemetry in Unity Catalog (Beta)

July 24, 2026

Lakebase adds AI-assisted troubleshooting: database issues and early warnings are surfaced to you with Insights, and you can then investigate and fix them conversationally with Genie. Both draw on database telemetry captured to Unity Catalog. See AI-assisted troubleshooting.

Lakeflow Designer Summer Release

July 24, 2026

The Lakeflow Designer Summer Release adds new operators, expands the Output and Join operators, and improves the canvas editing experience. The following updates are now available:

  • Prepare operator: Use the new Prepare operator for common data-cleansing tasks, including changing text case and data types, replacing values, and applying formulas. See Prepare.
  • Enter Data operator: Manually create tabular data in a spreadsheet-style editor. See Enter Data.
  • Select operator: Use the new Select operator to choose which columns to keep, rename columns, and reorder them in the output. See Select.
  • Visualization operator: Create and view visualizations directly on the canvas. See Visualization.
  • Improved Output operator: The Output operator now supports inserting or appending data in Unity Catalog tables, publishing results as materialized views, and writing CSV, Excel, or JSON files to Unity Catalog volumes. See Output.
  • Split Join outputs: The Join operator now provides three outputs by default: unmatched left rows, matched rows, and unmatched right rows. This makes it easier to branch a workflow based on join results. See Join.
  • Case-sensitive joins: The Join operator now includes a Match case option and matches string keys case-insensitively by default.
  • Matched and unmatched Filter outputs: The Filter operator now provides separate outputs for matching and non-matching rows, so you can branch data based on whether it meets the filter conditions. See Filter.
  • Improved date filtering: The Filter operator's date picker now supports navigating across years as well as months.
  • Additional AI functions: The AI Function operator now supports ai_query, ai_parse_document, ai_forecast, and ai_prep_search. See AI Function.
  • Folder and volume inputs: The Source operator can now target an entire Unity Catalog volume or folder path instead of an individual file. See Source.
  • Metric view sources: Use Unity Catalog metric views as source nodes in Lakeflow Designer. See Source.
  • Inline Note editing: The Note operator now supports inline rich-text editing directly on the canvas, including headings, text styling, links, images, and tables. See Note.
  • Easier node connections: Redesigned node ports provide larger connection targets and clearer visual cues, making operators easier to connect.
  • Clearer operator configuration cues: Unconfigured operators now have a dashed border, and required input ports that aren't connected are highlighted in yellow.
  • Table of contents panel: Find and navigate to any operator using the new searchable table of contents in the left sidebar. Select an operator to focus it on the canvas, then expand the Generated code section to view its underlying code.
  • Command palette: Press Cmd+Shift+P on macOS or Ctrl+Shift+P on Windows to quickly access editor actions.
  • Visual data prep listing page: Find all of your visual data prep files from a dedicated Visual data prep page in the sidebar. The page includes a getting-started video banner to help you start using Lakeflow Designer.
  • Improved caching: On all-purpose compute, downstream operators can reuse cached upstream results, reducing repeated work for long-running steps such as AI functions.
  • Large-canvas performance: Scrolling and panning are more responsive on canvases with more than 200 operators.
  • Serverless environment selection: When working with visual data prep files, you can now choose the serverless environment used for both interactive runs and scheduled jobs.
  • Improved scheduled-job readability: Scheduled visual data prep runs now display each operator as an individual node in the Jobs task graph instead of showing raw Python code.
  • Declarative Automation Bundles support: Deploy and run visual data prep files with Declarative Automation Bundles by configuring them as notebook tasks and referencing the file path in notebook_task.notebook_path. See Move a visual data prep file to production.

Git CLI commands in Git folders are now in Public Preview

July 24, 2026

Git CLI commands in Git folders are now in Public Preview. Git folders that you create from the UI automatically get Git CLI access when your workspace is eligible, so you can run standard Git commands such as git stash, interactive rebase, pre-commit hooks, Git submodules, and Large File Storage (LFS) directly from a Azure Databricks terminal. Workspace admins can control access to this feature from the Previews page. See Use Git CLI commands.

Governed tags system table is in Beta

July 24, 2026

The system.tags.governed_tags system table is in Beta. This table contains a record for each governed tag key in your account, including customer-created and system-generated tags. Use it to programmatically determine which tags in your account are governed.

See Governed tags system table reference.

Anthropic Claude Opus 5 now available as a Databricks-hosted model

July 24, 2026

Databricks Model Serving now supports Anthropic Claude Opus 5 as a Databricks-hosted model.

To access this model, use:

Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

July 23, 2026

Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available (GA), powered by Apache Spark 4.2.0.

For release notes, see Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning.

Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS

July 23, 2026

With the general availability of Databricks Runtime 19, Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to long-term support (LTS). LTS versions receive three years of stability and security fixes.

For release notes, see Databricks Runtime 18 LTS and Databricks Runtime 18 LTS for Machine Learning. For lifecycle details, see Databricks Runtime support lifecycles.

Genie Code scheduled tasks are in Beta

July 23, 2026

You can now schedule Genie Code to run a prompt on a recurring schedule. Each run executes your prompt as a full Genie Code session and produces a continuable Genie chat with the results, so you can turn recurring analysis into an unattended background task. Create a scheduled task by asking Genie Code in chat or by filling in the create form manually. For more information, see Genie Code scheduled tasks.

Priority pay-per-token for Foundation Model APIs

July 22, 2026

Priority pay-per-token, also referred to as priority mode, for Foundation Model APIs pay-per-token is generally available for partner models and in preview for open source models.

Priority mode is for latency-sensitive, real-time applications that need more consistent availability under load.

See Priority pay-per-token for Foundation Model APIs for model availability.

Lakeflow Designer support for compliance security profile standards

July 22, 2026

Lakeflow Designer now supports all compliance security profile standards supported by Azure 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 profile.

See Lakeflow Designer.

Variant and Variant shredding are now generally available

July 22, 2026

Variant is now generally available. Variant is a flexible data type for semi-structured data that delivers structured-like query performance through Variant shredding, which is also generally available. Use Variant to ingest semi-structured data from streaming sources (Kinesis, Event Hub), REST APIs, and schemaless databases, while maintaining high-performance query access.

Starting with Databricks Runtime 17.3, Variant shredding is automatically enabled when you create a new table with VARIANT columns. For optimal query performance with variant statistics collection and data skipping, Databricks recommends Databricks Runtime 18.1 or above. See Use variant shredding to optimize performance.

Variant is coming soon to workspaces with the compliance security profile enabled.

Role-based access control (RBAC) is in Public Preview

July 22, 2026

Role-based access control (RBAC) is now in Public Preview. RBAC lets users assume a role in Azure Databricks using only that role's permissions for the duration of the session instead of their own accumulated permissions. This enables exclusive access. Users must actively assume a role to reach sensitive data, which prevents them from accessing it as their own identity and from mixing data across use cases, clinical trials, projects, or clients.

To enable RBAC, an account admin turns on the preview at the account level. Workspace admins then enable it in each workspace.

See Role-based access control (RBAC).

Transactions are now generally available

July 22, 2026

Transactions that write to Unity Catalog managed Delta tables are now generally available. Group multiple SQL statements across one or more tables into a single atomic transaction using BEGIN ATOMIC ... END; or BEGIN TRANSACTION; ... COMMIT; syntax. All changes succeed together or roll back together, ensuring data consistency across your operations. Transactions require catalog commits enabled on participating tables. Transactions that write to Unity Catalog managed Iceberg tables remain in Private Preview.

See Transactions.

Email notifications for expiring service principal tokens are now generally available

July 22, 2026

Azure Databricks now automatically sends an email notification when a service principal token is set to expire within seven days. Because service principals don't have their own mailboxes, Azure Databricks sends these notifications to workspace admins. Notifications are sent only for service principal tokens that have a lifetime longer than seven days and have been used at least once. No configuration is required.

See Service principal token expiration notifications.

Networking charges for performance-intensive products

July 22, 2026

Azure Databricks now charges for cross-region and public-internet data egress back to the client for performance-intensive products, including Lakebase, OpenSharing SecureConnect, Zerobus, and Files API. Client ingress and same-region egress are not charged. This charge applies to all customers using these products, regardless of whether they use serverless or classic compute. To track this usage, the billable usage system table adds the recipient_id, associated_product, and networking_client fields to usage_metadata. See Understand Databricks networking costs.

Databricks-hosted sample datasets available in the samples catalog

July 22, 2026

The sample datasets /databricks-datasets mounted to DBFS are now also available in the samples catalog as samples.databricks.datasets, made available through OpenSharing. The datasets volume hosts a collection of Azure Databricks-provided datasets that you can use to build and test data pipelines.

The samples catalog is available in Unity Catalog-enabled workspaces. For more information about the sample datasets available in the samples catalog, see Sample datasets.

Override the REPLACE WHERE predicate for a single refresh

July 22, 2026

You can now override a standalone streaming table's defined REPLACE WHERE predicate for a single refresh by adding a WHERE clause to the REFRESH STREAMING TABLE command. The override applies only to that refresh and doesn't change the table definition, which is useful for one-time backfills and corrections. This is supported only on standalone streaming tables created with a FLOW REPLACE WHERE clause. See REFRESH (MATERIALIZED VIEW or STREAMING TABLE).

Governance Hub is in Beta

July 22, 2026

Governance Hub is in Beta. Governance Hub is a centralized, account-level UI in the account console for monitoring governance across your Azure Databricks account. It provides a unified view of data health and coverage, AI usage and spend, and cost drivers, with prioritized insights and recommendations. All views respect existing permissions.

Account admins can enable Governance Hub from the account console Previews page. See Governance Hub.

Genie One and Genie Agents billed usage corrections

July 21, 2026

Genie One and Genie Agents usage is free through July 31, 2026.

Beginning July 21, 2026, Databricks is applying a correction so that Genie One and Genie Agents usage is properly reflected as free across your billing data and budgets:

  • System tables: Correction records land in system.billing.usage that negate prior Genie One and Genie Agents billed usage, so that aggregated billable usage is zero. See Record type reference and Monitor and understand your Genie cost.
  • Budgets: Genie One and Genie Agents costs are netted out of budget enforcement. As a result, spend shown in the budget UI will drop slightly. In some cases, a user who was previously over their budget threshold may fall back under it once their Genie One and Genie Agents costs are netted out.

This is a one-time adjustment. Genie Code usage and billing are unaffected.

Context-based ingress control for workspaces public access is now generally available

July 21, 2026

Context-based ingress control for workspaces public access is now generally available. Control who can reach your workspace endpoints using allow and deny rules that allow you to combine identities, network sources, and request types. See Context-based ingress control.

Reddit Ads connector is now available in Beta

July 21, 2026

The managed Reddit Ads connector in Lakeflow Connect is now available in Beta. You can use the connector to ingest advertising campaign data and performance metrics from Reddit Ads into Azure Databricks. See Reddit Ads connector.

Warehouse-level statement timeouts (Beta)

July 21, 2026

You can now set a statement timeout on a single SQL warehouse so that different warehouses can apply different timeouts to their queries. Set the timeout with the statement_timeout field in the Create or Update warehouse APIs. This feature is in Beta and is API-only. See Warehouse-level timeout.

Mention Genie Code in notebook comments

July 20, 2026

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.

Anthropic managed ingestion connector (Beta)

July 17, 2026

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 Azure Databricks. See Anthropic connector.

Databricks Genie app in Microsoft Teams is now in Public Preview

July 17, 2026

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.

Google Gemini 3 Pro is retired

July 16, 2026

Google Gemini 3 Pro is retired. Gemini 3.1 Pro is the recommended replacement. See Deprecated and retired models for migration guidance.

Agentic code converter is in Beta

July 16, 2026

The agentic code 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 syntax and semantic intent, and iteratively fixes errors before writing the results to your workspace. A workspace admin must enable it from the Previews page.

See Convert SQL with the agentic code converter.

Scala and Java UDFs in Unity Catalog are now generally available

July 16, 2026

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 existing JVM logic and get better performance than Python UDFs on all compute, including serverless.

See Scala and Java user-defined functions (UDFs) in Unity Catalog.

ai_extract and ai_classify are now available by default for workspaces with the compliance security profile enabled

July 15, 2026

The ai_extract and ai_classify SQL AI functions are now available by default for workspaces with the compliance security profile enabled and HIPAA, HITRUST, C5, and TISAX controls selected.

Use ai_extract to extract structured fields from unstructured text against a user-defined schema. Use ai_classify to classify text into user-defined labels for routing, tagging, and document categorization workflows. You can also use Agent Bricks to create an information extraction agent and a classification agent.

Genie One and Genie Agents usage is free through July 31, 2026

July 15, 2026

As of July 15, 2026, billing for Genie One and Genie Agents is paused, and usage of these products is free through July 31, 2026. Budget controls do not apply to them.

Genie Code continues to be billed under the pay-as-you-go pricing model. For more information about pricing, see Azure Databricks pricing.

AI Search High QPS is now generally available

July 15, 2026

AI Search High QPS is now generally available for standard endpoints.

Set a target QPS on standard AI Search endpoints to power high-throughput, real-time workloads like search bars, recommendation systems, and entity matching. High QPS is enabled by default, but existing endpoints are not affected. Additional capacity and the associated cost apply only when you configure a target QPS for an endpoint.

See Scale AI Search endpoint throughput with high QPS.

Custom URLs for your Azure Databricks account (Public Preview)

July 15, 2026

You can now claim and enable a Custom URL that gives your Azure Databricks account a single, branded entry point (for example, acme.databricks.com) for all users and workspaces. See Give your Azure Databricks account a custom URL.

Data Classification is now available by default for additional compliance standards

July 15, 2026

Data Classification is now available by default for workspaces with the compliance security profile enabled and either C5 or TISAX controls selected.

Allowlist partner platform IPs in context-based ingress control (Beta)

July 14, 2026

Context-based ingress control now supports Partner Platforms as a network source. Select a partner platform to allowlist the IPs that third-party apps use to connect to Azure Databricks, including Power BI, Tableau Cloud, and dbt platform. Azure Databricks manages and updates these IP lists automatically. See Network sources.

Lakebase is now SOC 2 Type 2 compliant

July 14, 2026

Lakebase is now SOC 2 Type 2 compliant. For our SOC reports, please ask your Databricks account team or see Compliance.

Serverless compute is now available in the Azure UK West region

July 14, 2026

Serverless compute for notebooks, jobs, pipelines, and SQL warehouses, along with serverless private connectivity, is now generally available in the Azure UK West (ukwest) region. See Serverless availability.

Trigger.AvailableNow support for OpenSharing streaming (GA)

July 14, 2026

Streaming reads from OpenSharing tables now support the Trigger.AvailableNow trigger. This trigger captures the shared table's current version when it starts, processes all available data across one or more micro-batches (honoring maxFilesPerTrigger and maxVersionsPerRpc), and then stops, which is well suited to scheduled, batch-like incremental processing. Previously, Trigger.AvailableNow on a OpenSharing source was converted to Trigger.Once, which processed a single micro-batch per run. This feature requires Databricks Runtime 18.0 or above.

See Query a table using Apache Spark Structured Streaming for Databricks-to-Databricks recipients and Access a shared table using Spark Structured Streaming for open sharing recipients.

View warehouse activity details (General Availability)

July 13, 2026

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 over bars to see metadata, or click on fetching activity to filter the query history table. See Activity details.

Lakebase Autoscaling update notifications now post 3 days in advance

July 10, 2026

To deliver Postgres version updates, security patches, and new features to your projects sooner, Lakebase Autoscaling has shortened the planned update notification window. Planned updates are now posted at least 3 days in advance, rather than 7. You can check your project's settings for upcoming updates.

See Manage updates.

Secrets in Unity Catalog (Public Preview)

July 10, 2026

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 other data assets. See Secrets in Unity Catalog.

Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled

July 9, 2026

Databricks SQL alerts now support all compliance security profile standards that Azure 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, evaluating conditions, and notifying recipients when the conditions are met.

See Databricks SQL alerts.

Private connectivity to SAP Business Data Cloud (BDC)

July 9, 2026

You can now use Azure Private Link to privately connect to SAP Business Data Cloud (BDC). If your organization requires private network connectivity, configure Azure Private Link to the storage accounts that back your SAP BDC shares before you create a connection. See Set up private connectivity to SAP BDC.

Strac connector (Beta)

July 9, 2026

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 Azure Databricks. Authentication uses a Strac API key.

See Strac connector.

Protobuf tensor input for custom model serving endpoints (Public Preview)

July 9, 2026

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 deployed after July 9, 2026. See Protobuf tensor input.

Google Gemini 2.5 Flash is scheduled for retirement

July 8, 2026

Google Gemini 2.5 Flash will be retired on October 2, 2026. The recommended replacement is Gemini 3.1 Pro or Gemini 3.5 Flash. See Deprecated and retired models for migration guidance.

Restrict access to AI Functions with Unity Catalog permissions (Public Preview)

July 8, 2026

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.

Anthropic Claude Sonnet 4 is scheduled for retirement

July 8, 2026

Anthropic Claude Sonnet 4 will be retired on October 9, 2026. Claude Sonnet 4.6 is the recommended replacement. See Deprecated and retired models for migration guidance.

Genie Spaces is now Genie Agents

July 8, 2026

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.

Genie products now use pay-as-you-go pricing

July 8, 2026

Starting July 8, 2026 at 00:00 UTC, Genie products, including Genie Agents, 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. Usage beyond the free amount is billed in DBUs, reflecting the underlying LLM models and agents that power each Genie session. For more information about pricing, see Azure Databricks pricing.

To monitor and control Genie spend for your account, see Manage budgets and cost controls for Genie.

Object metadata column is now in Public Preview

July 8, 2026

The _object_metadata column is now in Public Preview. The _object_metadata column is a hidden metadata column that exposes object-level properties for objects in cloud storage, including MIME type, ETag, user-defined key-value metadata, system-defined metadata, and object tags. It is available starting from Databricks Runtime 18.1.

See Object metadata column.

Configure serverless egress control in Azure China

July 7, 2026

You can now configure serverless egress control in Azure China (Mooncake) to manage outbound network connections from your serverless compute. Serverless egress control is available only in the China North 3 region, and your workspace must be in China North 3. See What is serverless egress control? and Manage network policies for serverless egress control.

REPLACE WHERE flows are now generally available

July 7, 2026

REPLACE WHERE flows for pipelines and standalone streaming tables are now generally available. Use them to replace only rows matching a predicate on each refresh, without reprocessing the full table history. See Batch processing with REPLACE WHERE flows.

Excel file format support is now available by default

July 7, 2026

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.

Managed Iceberg materialized views are in Public Preview

July 7, 2026

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.

Budgets are now generally available

July 6, 2026

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 actions such as email alerting and usage blocking.

See Create and monitor budgets and Manage budgets for Unity AI Gateway.

Standard performance mode is now supported for materialized view or streaming table refreshes in jobs

July 6, 2026

Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting. When the setting is turned off, the refresh uses standard performance mode, which consumes fewer DBUs.

For more about performance modes for scheduled refreshes, see Select a performance mode for scheduled refreshes.

Lakeflow Connect row filtering is now generally available

July 2, 2026

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 and subsequent incremental updates, and is supported for SaaS connectors including Google Analytics, Salesforce, and ServiceNow, as well as all query-based connectors.

See Select rows to ingest.

MySQL integrated CDC pipeline is now in Beta

July 1, 2026

The integrated CDC pipeline for MySQL is now in Beta. An integrated CDC pipeline ingests change data from MySQL into Azure Databricks using a single pipeline, combining extraction and application into one pipeline update. Unlike the standard gateway-based architecture, an integrated CDC pipeline requires no separate ingestion gateway. See Create an integrated CDC pipeline for MySQL.

Veeva Vault connector (Beta)

July 1, 2026

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 from your Vault instance into Azure Databricks. Authentication uses OAuth 2.0 M2M via Microsoft Entra ID.

See Veeva Vault connector.

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