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    <title>article What's new in Databricks - August 2025 in Product Platform Updates</title>
    <link>https://community.databricks.com/t5/product-platform-updates/what-s-new-in-databricks-august-2025/ba-p/131537</link>
    <description>&lt;P&gt;&lt;STRONG&gt;Data Engineering&lt;/STRONG&gt;&lt;/P&gt;
&lt;DIV class="pencraft pc-display-flex pc-alignItems-center pc-position-absolute pc-reset header-anchor-parent"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;Migrate Lakeflow Declarative Pipelines from legacy publishing mode is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Lakeflow Declarative Pipelines has a legacy publishing mode that only allows publishing to a single catalog and schema. The default publishing mode enables publishing to multiple catalogs and schemas. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/dlt/migrate-to-dpm" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Selectively and atomically replace data with Insert replace using and insert replace on is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;CODE&gt;INSERT REPLACE USING&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;replaces rows when the&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;USING&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;columns compare equal under equality.&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;INSERT REPLACE ON&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;replaces rows when they match a user-defined condition.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Microsoft SQL Server connector and ServiceNow are GA&lt;/STRONG&gt;&lt;/P&gt;
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&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;Salesforce Data Cloud File Sharing connector is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;New table property for Delta lake compression&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can explicitly set the compression codec for a Delta table using the&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;delta.parquet.compression.codec&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;table property. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/delta/table-properties" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Create external Delta tables from third party clients&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can now create Unity Catalog external tables backed by Delta Lake from external clients and systems, such as Apache Spark.&lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/external-access/create-external-tables" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakeflow Declarative Pipeline improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can change the identity that a pipeline uses to run updates and the owner of tables published by the pipeline. This feature allows you to set a service principal as the run-as identity, which is safer and more reliable than using user accounts for automated workloads. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/dlt/configure-pipeline#set-the-run-as-user" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;You can now easily create an ETL pipeline in a bundle in the workspace using the new Lakeflow Declarative Pipelines template project.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can use automatic liquid clustering with&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;CLUSTER BY AUTO&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;and Databricks intelligently chooses clustering keys to optimize query performance.&lt;/SPAN&gt;&lt;/P&gt;
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&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":high_voltage:"&gt;⚡&lt;/span&gt;Lakebase&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;OLTP Database tab renamed to Lakebase Postgres&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakebase synced tables supports syncing Apache Iceberg and Foreign tables&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can create synced tables in Snapshot sync mode from Iceberg tables or foreign tables. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/oltp/sync-data/sync-table#supported-source-tables" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Data type mapping&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;For new synced tables:&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;TIMESTAMP&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;types in source tables are mapped to&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;TIMESTAMP WITH TIMEZONE&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;in synced tables.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Budget policy is supported by Lakebase&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;You can tag a database instance and a synced table with a budget policy to attribute billing usage to specific policies. Additionally, custom tags can be added to a database instance for more granular attribution of compute usage to teams, projects, or cost centers.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakebase is enabled by default&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Lakebase: Managed Postgres OLTP Database&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;preview is enabled by default&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;🪄Serverless&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Serverless compute for notebooks, workflows, and Lakeflow Declarative Pipelines is available in the Asia Pacific (Jakarta) region (&lt;/SPAN&gt;&lt;CODE&gt;ap-southeast-3&lt;/CODE&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/admin/workspace-settings/base-environment" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Serverless GPU supports hyperparameters sweeps and Multinode Workloads and schedule jobs. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/compute/serverless/gpu" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;New features are available on Serverless Compute:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;Databricks connect upgraded to 17.0&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;Scalar Python UDFS support service credentials&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;PySpark and Spark Connect support the df.mergeInto&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":desktop_computer:"&gt;🖥&lt;/span&gt;️Platform&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Notebooks Improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Edit Mode in Assistant does multi-cell code refactoring and more. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/notebooks/basic-editing#splitview" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;Use the cell execution minimap to track your notebook’s progress at a glance. The minimap appears in the right margin and shows each cell’s execution state. Hover to see cell details, or click to jump directly to a cell.&lt;/P&gt;
&lt;P&gt;Notebook autocomplete supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakeflow job improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Jobs that are set to run in continuous mode have the option to retry individual tasks on task failure. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/jobs/continuous" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Power BI Databricks connector supports M2M OAuth&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can authenticate into Power BI Desktop using M2M OAuth. Databricks recommends switching to the new client credentials authentication option. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/partners/bi/power-bi-m2m" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Account SCIM 2.0 updates&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Databricks has updated the Account SCIM API for identity management as follows:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;&lt;SPAN&gt;Calling&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;GET with filter params filter=displayName eq value_without_quotes&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;results in a syntax error. To prevent this error, use quotation marks to wrap the value&lt;/SPAN&gt;&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;SPAN&gt;Calling&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;GET /api/2.0/accounts/{account_id}/scim/v2/Groups&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;no longer returns members. Instead, iterate through&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;get group details&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;to get membership information&lt;/SPAN&gt;&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;SPAN&gt;Calling&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;PATCH /api/2.0/accounts/{account_id}/scim/v2/Groups/{id}&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;returns a 204 response instead of a 200 response.&lt;/SPAN&gt;&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;OAuth token federation is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Databricks assistant improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;You can chat with Databricks Assistant on some compute pages. Use the Assistant chat panel to help you create a new compute resource, pool, and policy.&lt;/P&gt;
&lt;P&gt;You can tailor how Databricks Assistant responds by adding custom user instructions. Guide the Assistant with preferences, coding conventions, and response guidelines.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Disable legacy features for new workspaces&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;A new account console setting allows account admins to disable certain legacy features on new workspaces created in their account. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/admin/account-settings/legacy-features" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Serverless Workspaces are available&lt;/STRONG&gt;&lt;/P&gt;
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&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":robot_face:"&gt;🤖&lt;/span&gt;GenAI &amp;amp; ML&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;AI Playground is GA&lt;/STRONG&gt;&lt;/P&gt;
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&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/LpxHQrAJv-U?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;OpenAI GPT OSS models are available on Mosaic AI Model Serving&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Mosaic AI Model Serving supports OpenAI's GPT OSS 120B and GPT OSS 20B as Databricks-hosted foundation models. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/#token-foundation-apis" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Batch inference with GPT OSS models&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;OpenAI GPT OSS 120B and GPT OSS 20B are optimized for AI Functions, which means you can perform batch inference using these models and AI Functions like&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;ai_query()&lt;/CODE&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;External MCP servers are in Beta&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can connect Databricks to external MCP servers. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/generative-ai/mcp/" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Mosaic AI Vector Search reranker is available&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Mosaic AI Vector Search offers reranking to help improve retrieval quality. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/generative-ai/create-query-vector-search#rerank" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Token based rate limits are available on AI Gateway&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can configure token-based rate limits on your model serving endpoints.. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/ai-gateway/configure-ai-gateway-endpoints" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;OpenAI GPT OSS models releases&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The Databricks-hosted foundation models, OpenAI GPT OSS 120B and GPT OSS 20B support function and tool calling and provisioned throughput. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/machine-learning/model-serving/function-calling" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":memo:"&gt;📝&lt;/span&gt;AIBI Genie&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;SQL expression validation for join relationships&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;File uploads are accessible only to the users who uploaded them&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;You can define join relationships locally within a Genie space's knowledge store. This is useful when authors lack permissions to define primary and foreign keys on upstream tables or when the join relationship has specific requirements, such as one-to-many or complex joins&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;Value dictionaries select the most frequent 1024 values from the first 100k rows, instead of the first 1024 values encountered.&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":bar_chart:"&gt;📊&lt;/span&gt;AIBI Dashboard&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;Dashboard external embedding Public Preview and new custom calculations functions&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;You can define up to 200 custom calculations per dashboard.&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":shield:"&gt;🛡&lt;/span&gt;️Governance&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Governed tags are public preview&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can create governed tags to enforce consistent tagging across data assets such as catalogs, schemas, and tables. Admins define the allowed keys and values and control which users and groups can assign them to objects. This helps standardize metadata for data classification, cost tracking, access control and automation. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/admin/governed-tags/" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Single node compute on standard access mode is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;This configuration allows multiple users to share a single-node compute resource with full user isolation. Single-node compute is useful for small jobs or non-distributed workloads.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Column masks retained when replacing a table&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;If a column in the new table matches a column name from the original table, its existing column mask is retained, even if no mask is specified. This change prevents accidental removal of column-level security policies during table replacement.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Access requests in Unity Catalog&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;You can enable self-service access requests in Unity Catalog by configuring access request destinations on securable objects.&lt;/P&gt;
&lt;P&gt;Users can request access to Unity Catalog objects that they discover. These requests are sent to configured destinations, such as emails, Slack or Microsoft Teams channels, or they can be redirected to an internal access management system.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/data-governance/unity-catalog/manage-privileges/access-request-destinations" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Path credential vending&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can use path credential vending to grant short-lived credentials to external locations in your Unity Catalog metastore.&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/external-access/credential-vending" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":magnifying_glass_tilted_left:"&gt;🔍&lt;/span&gt; Data Warehousing&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Default warehouse setting is available in Beta&lt;/P&gt;
&lt;P&gt;Support for timestamp without time zone syntax&lt;/P&gt;
&lt;P&gt;Support for schema and catalog level default collation&lt;/P&gt;
&lt;DIV id="youtube2-yLWpSYSkFgY" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;yLWpSYSkFgY&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/yLWpSYSkFgY?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;Expanded spatial SQL expressions and GEOMETRY and GEOGRAPHY data types&lt;/P&gt;
&lt;DIV id="youtube2-xqws_PIYYPo" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;xqws_PIYYPo&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/xqws_PIYYPo?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;</description>
    <pubDate>Wed, 10 Sep 2025 14:08:13 GMT</pubDate>
    <dc:creator>Sujitha</dc:creator>
    <dc:date>2025-09-10T14:08:13Z</dc:date>
    <item>
      <title>What's new in Databricks - August 2025</title>
      <link>https://community.databricks.com/t5/product-platform-updates/what-s-new-in-databricks-august-2025/ba-p/131537</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Data Engineering&lt;/STRONG&gt;&lt;/P&gt;
&lt;DIV class="pencraft pc-display-flex pc-alignItems-center pc-position-absolute pc-reset header-anchor-parent"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;Migrate Lakeflow Declarative Pipelines from legacy publishing mode is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Lakeflow Declarative Pipelines has a legacy publishing mode that only allows publishing to a single catalog and schema. The default publishing mode enables publishing to multiple catalogs and schemas. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/dlt/migrate-to-dpm" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Selectively and atomically replace data with Insert replace using and insert replace on is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;CODE&gt;INSERT REPLACE USING&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;replaces rows when the&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;USING&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;columns compare equal under equality.&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;INSERT REPLACE ON&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;replaces rows when they match a user-defined condition.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Microsoft SQL Server connector and ServiceNow are GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;DIV id="youtube2-sZ3wVoedP64" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;sZ3wVoedP64&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/sZ3wVoedP64?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;Salesforce Data Cloud File Sharing connector is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;New table property for Delta lake compression&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can explicitly set the compression codec for a Delta table using the&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;delta.parquet.compression.codec&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;table property. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/delta/table-properties" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Create external Delta tables from third party clients&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can now create Unity Catalog external tables backed by Delta Lake from external clients and systems, such as Apache Spark.&lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/external-access/create-external-tables" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakeflow Declarative Pipeline improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can change the identity that a pipeline uses to run updates and the owner of tables published by the pipeline. This feature allows you to set a service principal as the run-as identity, which is safer and more reliable than using user accounts for automated workloads. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/dlt/configure-pipeline#set-the-run-as-user" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;You can now easily create an ETL pipeline in a bundle in the workspace using the new Lakeflow Declarative Pipelines template project.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can use automatic liquid clustering with&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;CLUSTER BY AUTO&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;and Databricks intelligently chooses clustering keys to optimize query performance.&lt;/SPAN&gt;&lt;/P&gt;
&lt;DIV id="youtube2-6g685aR8hOg" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;6g685aR8hOg&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/6g685aR8hOg?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":high_voltage:"&gt;⚡&lt;/span&gt;Lakebase&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;OLTP Database tab renamed to Lakebase Postgres&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakebase synced tables supports syncing Apache Iceberg and Foreign tables&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can create synced tables in Snapshot sync mode from Iceberg tables or foreign tables. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/oltp/sync-data/sync-table#supported-source-tables" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Data type mapping&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;For new synced tables:&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;TIMESTAMP&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;types in source tables are mapped to&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;TIMESTAMP WITH TIMEZONE&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;in synced tables.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Budget policy is supported by Lakebase&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;You can tag a database instance and a synced table with a budget policy to attribute billing usage to specific policies. Additionally, custom tags can be added to a database instance for more granular attribution of compute usage to teams, projects, or cost centers.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakebase is enabled by default&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Lakebase: Managed Postgres OLTP Database&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;preview is enabled by default&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;🪄Serverless&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Serverless compute for notebooks, workflows, and Lakeflow Declarative Pipelines is available in the Asia Pacific (Jakarta) region (&lt;/SPAN&gt;&lt;CODE&gt;ap-southeast-3&lt;/CODE&gt;&lt;SPAN&gt;)&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/admin/workspace-settings/base-environment" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Serverless GPU supports hyperparameters sweeps and Multinode Workloads and schedule jobs. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/compute/serverless/gpu" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;New features are available on Serverless Compute:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;Databricks connect upgraded to 17.0&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;Scalar Python UDFS support service credentials&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;PySpark and Spark Connect support the df.mergeInto&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":desktop_computer:"&gt;🖥&lt;/span&gt;️Platform&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Notebooks Improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Edit Mode in Assistant does multi-cell code refactoring and more. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/notebooks/basic-editing#splitview" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;Use the cell execution minimap to track your notebook’s progress at a glance. The minimap appears in the right margin and shows each cell’s execution state. Hover to see cell details, or click to jump directly to a cell.&lt;/P&gt;
&lt;P&gt;Notebook autocomplete supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Lakeflow job improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Jobs that are set to run in continuous mode have the option to retry individual tasks on task failure. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/jobs/continuous" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Power BI Databricks connector supports M2M OAuth&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can authenticate into Power BI Desktop using M2M OAuth. Databricks recommends switching to the new client credentials authentication option. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/partners/bi/power-bi-m2m" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Account SCIM 2.0 updates&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Databricks has updated the Account SCIM API for identity management as follows:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;&lt;SPAN&gt;Calling&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;GET with filter params filter=displayName eq value_without_quotes&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;results in a syntax error. To prevent this error, use quotation marks to wrap the value&lt;/SPAN&gt;&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;SPAN&gt;Calling&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;GET /api/2.0/accounts/{account_id}/scim/v2/Groups&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;no longer returns members. Instead, iterate through&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;get group details&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;to get membership information&lt;/SPAN&gt;&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;&lt;SPAN&gt;Calling&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;PATCH /api/2.0/accounts/{account_id}/scim/v2/Groups/{id}&lt;/CODE&gt;&lt;SPAN&gt;&amp;nbsp;returns a 204 response instead of a 200 response.&lt;/SPAN&gt;&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;OAuth token federation is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Databricks assistant improvements&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;You can chat with Databricks Assistant on some compute pages. Use the Assistant chat panel to help you create a new compute resource, pool, and policy.&lt;/P&gt;
&lt;P&gt;You can tailor how Databricks Assistant responds by adding custom user instructions. Guide the Assistant with preferences, coding conventions, and response guidelines.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Disable legacy features for new workspaces&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;A new account console setting allows account admins to disable certain legacy features on new workspaces created in their account. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/admin/account-settings/legacy-features" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Serverless Workspaces are available&lt;/STRONG&gt;&lt;/P&gt;
&lt;DIV id="youtube2-UuW9Jlk0fkA" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;UuW9Jlk0fkA&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/UuW9Jlk0fkA?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":robot_face:"&gt;🤖&lt;/span&gt;GenAI &amp;amp; ML&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;AI Playground is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;DIV id="youtube2-LpxHQrAJv-U" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;LpxHQrAJv-U&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
&lt;DIV class="youtube-inner"&gt;&lt;IFRAME src="https://www.youtube-nocookie.com/embed/LpxHQrAJv-U?rel=0&amp;amp;autoplay=0&amp;amp;showinfo=0&amp;amp;enablejsapi=0" width="728" height="409" frameborder="0" allowfullscreen="allowfullscreen" loading="lazy" gesture="media" allow="autoplay; fullscreen" allowautoplay="true" data-mce-fragment="1"&gt;&lt;/IFRAME&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;&lt;STRONG&gt;OpenAI GPT OSS models are available on Mosaic AI Model Serving&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Mosaic AI Model Serving supports OpenAI's GPT OSS 120B and GPT OSS 20B as Databricks-hosted foundation models. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/#token-foundation-apis" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Batch inference with GPT OSS models&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;OpenAI GPT OSS 120B and GPT OSS 20B are optimized for AI Functions, which means you can perform batch inference using these models and AI Functions like&amp;nbsp;&lt;/SPAN&gt;&lt;CODE&gt;ai_query()&lt;/CODE&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;External MCP servers are in Beta&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can connect Databricks to external MCP servers. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/generative-ai/mcp/" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Mosaic AI Vector Search reranker is available&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Mosaic AI Vector Search offers reranking to help improve retrieval quality. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/generative-ai/create-query-vector-search#rerank" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Token based rate limits are available on AI Gateway&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can configure token-based rate limits on your model serving endpoints.. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/ai-gateway/configure-ai-gateway-endpoints" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;OpenAI GPT OSS models releases&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The Databricks-hosted foundation models, OpenAI GPT OSS 120B and GPT OSS 20B support function and tool calling and provisioned throughput. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/machine-learning/model-serving/function-calling" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":memo:"&gt;📝&lt;/span&gt;AIBI Genie&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;SQL expression validation for join relationships&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;File uploads are accessible only to the users who uploaded them&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;You can define join relationships locally within a Genie space's knowledge store. This is useful when authors lack permissions to define primary and foreign keys on upstream tables or when the join relationship has specific requirements, such as one-to-many or complex joins&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;Value dictionaries select the most frequent 1024 values from the first 100k rows, instead of the first 1024 values encountered.&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":bar_chart:"&gt;📊&lt;/span&gt;AIBI Dashboard&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;
&lt;P&gt;Dashboard external embedding Public Preview and new custom calculations functions&lt;/P&gt;
&lt;/LI&gt;
&lt;LI&gt;
&lt;P&gt;You can define up to 200 custom calculations per dashboard.&lt;/P&gt;
&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":shield:"&gt;🛡&lt;/span&gt;️Governance&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Governed tags are public preview&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can create governed tags to enforce consistent tagging across data assets such as catalogs, schemas, and tables. Admins define the allowed keys and values and control which users and groups can assign them to objects. This helps standardize metadata for data classification, cost tracking, access control and automation. &lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/admin/governed-tags/" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Single node compute on standard access mode is GA&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;This configuration allows multiple users to share a single-node compute resource with full user isolation. Single-node compute is useful for small jobs or non-distributed workloads.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Column masks retained when replacing a table&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;If a column in the new table matches a column name from the original table, its existing column mask is retained, even if no mask is specified. This change prevents accidental removal of column-level security policies during table replacement.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Access requests in Unity Catalog&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;You can enable self-service access requests in Unity Catalog by configuring access request destinations on securable objects.&lt;/P&gt;
&lt;P&gt;Users can request access to Unity Catalog objects that they discover. These requests are sent to configured destinations, such as emails, Slack or Microsoft Teams channels, or they can be redirected to an internal access management system.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-unicode-emoji" title=":open_book:"&gt;📖&lt;/span&gt;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/data-governance/unity-catalog/manage-privileges/access-request-destinations" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Path credential vending&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;You can use path credential vending to grant short-lived credentials to external locations in your Unity Catalog metastore.&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://docs.databricks.com/aws/en/external-access/credential-vending" target="_blank" rel="noopener"&gt;Documentation&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":magnifying_glass_tilted_left:"&gt;🔍&lt;/span&gt; Data Warehousing&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Default warehouse setting is available in Beta&lt;/P&gt;
&lt;P&gt;Support for timestamp without time zone syntax&lt;/P&gt;
&lt;P&gt;Support for schema and catalog level default collation&lt;/P&gt;
&lt;DIV id="youtube2-yLWpSYSkFgY" class="youtube-wrap" data-attrs="{&amp;quot;videoId&amp;quot;:&amp;quot;yLWpSYSkFgY&amp;quot;,&amp;quot;startTime&amp;quot;:null,&amp;quot;endTime&amp;quot;:null}" data-component-name="Youtube2ToDOM"&gt;
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&lt;/DIV&gt;
&lt;P&gt;Expanded spatial SQL expressions and GEOMETRY and GEOGRAPHY data types&lt;/P&gt;
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&lt;/DIV&gt;</description>
      <pubDate>Wed, 10 Sep 2025 14:08:13 GMT</pubDate>
      <guid>https://community.databricks.com/t5/product-platform-updates/what-s-new-in-databricks-august-2025/ba-p/131537</guid>
      <dc:creator>Sujitha</dc:creator>
      <dc:date>2025-09-10T14:08:13Z</dc:date>
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