July 2026
Databricks released these features and improvements in July 2026.
Releases are staged. Your Databricks account might not be updated until a week or more after the initial release date.
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
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, 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.
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 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).
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.usagethat 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 Databricks. See Reddit Ads connector.
Google Gemini 3.6 Flash now available as a Databricks-hosted model
July 21, 2026
Model Serving now supports Google Gemini 3.6 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.
Meta Llama 4 Maverick is retired
July 21, 2026
Meta Llama 4 Maverick is no longer available on Google Cloud. OpenAI GPT OSS 120B is the recommended replacement. See Deprecated and retired models for migration guidance.
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 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.
Lakebridge Agentic Converter is in Beta
July 16, 2026
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 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 Lakebridge Agentic 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, 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.
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 Databricks pricing.
Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview
July 15, 2026
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 model using Foundation Model APIs.
Inkling is available in Public Preview.
Customers are responsible for ensuring their compliance with applicable terms.
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 Databricks account (Public Preview)
July 15, 2026
You can now claim and enable a Custom URL that gives your Databricks account a single, branded entry point (for example, acme.databricks.com) for all users and workspaces. See Give your 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.
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.
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.
OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna now available as Databricks-hosted models
July 9, 2026
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.
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 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.
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 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.
Zhipu AI GLM 5.2 now available as a Databricks-hosted model
July 8, 2026
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.
Customers are responsible for ensuring their compliance with applicable terms.
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 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.
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.
Okta support for automatic identity management is now generally available
July 3, 2026
Okta support for automatic identity management is now generally available. Automatic identity management lets you sync users and groups from Okta into Databricks without SCIM provisioning. When enabled, you can search for users and groups directly in identity federated workspaces and add them to your workspace, and Databricks uses Okta as the source of record for group memberships.
See Configure Okta for automatic identity management.
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.
Google Gemini 3.1 Flash Image and Gemini 3 Pro Image now available as Databricks-hosted models
July 1, 2026
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.
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 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 Databricks. Authentication uses OAuth 2.0 M2M via Microsoft Entra ID.