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1.61.2.dev20260808
Streamlit nightly 1.61.2.dev20260808
Data & Analytics
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1.61.2.dev20260807
Streamlit nightly 1.61.2.dev20260807
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1.61.2.dev20260806
Streamlit nightly 1.61.2.dev20260806
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Change data feed on materialized views (Beta)
You can now read a change data feed from a materialized view created in a Lakeflow pipeline or in Databricks SQL, using Databricks Runtime 18 LTS or above. Use this to replicate materialized view changes to destinations outside Databricks, or to keep a history of materialized view changes for auditing and reporting. Materialized views use automatic change data feed, so the change data feed is avai…
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ai_search function (Beta)
The ai_search() SQL function retrieves information from one or more AI Search indexes configured as knowledge sources. Given a natural-language query, the function generates optimized search queries, retrieves and deduplicates results across sources, reranks them by relevance, and returns the most relevant documents. By default, it also synthesizes a grounded natural-language answer over those doc…
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Tag automations (Beta)
Tag automations are now in Beta. A tag automation assigns or removes governed tags on the Unity Catalog tables or volumes that match conditions you define, so tags stay accurate as your data and metadata change. Use them to certify trusted data, deprecate stale data, roll up column sensitivity to a table-level tier, flag assets that are missing required tags, and clean up outdated tags. You can bu…
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GitHub
We've added a new table, ORG_MEMBER.We have added a new column, role, to the TEAM_MEMBERSHIP table.
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Persistent quarantine data and workspace usage trends
Preserve quarantined data across compatible deployments, see seven-day workspace trends, and get a set of ingestion, deployment, and UI fixes.
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1.61.2.dev20260805
Streamlit nightly 1.61.2.dev20260805
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Moonshot AI Kimi K3 now available as a Databricks-hosted model
Model Serving now supports Kimi K3 as a Databricks-hosted model. This 2.8-trillion-parameter mixture of experts (MoE) model has native vision capabilities, supports a 1 million token context window, and is designed for long-horizon coding, knowledge work, and reasoning. You can access this model using Foundation Model APIs.
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JAR tasks on serverless compute are now generally available
Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute. Your JAR must match the Scala, Java Development Kit (JDK), and Databricks Connect versions of your serverless environment version. See Create and run JARs on serverless compute.
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Databricks-managed MCP connectors are now integrated with Unity AI Gateway (Beta)
All Databricks-managed MCP connectors for Genie One and Genie Code have migrated to the Unity AI Gateway. This brings Databricks-managed connectors under Unity AI Gateway, enabling centralized governance, access controls, and visibility alongside your other MCP servers and tools. Users must reauthenticate their connectors to continue using them with Genie One and Genie Code. A notification in Geni…
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Genie Code web search is in Beta
Genie Code can now search the public web to answer questions that need current information. Web search is disabled by default during the beta for eligible workspaces and must be turned on from the Previews page. See Search the web.
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Marketo
Our Marketo connector now supports an additional sync of activity data from the previous three days during each incremental sync, to help capture late-arriving activity records. To support this enhancement, we have made the following changes: Added a new toggle, Sync Late Arriving Activities, to the connection setup form Added a new parameter, trailingSyncEnabled, to the Fivetran REST API For more…
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Pinterest Ads
We've added a new table, ADVERTISER_TARGETING_GEO_REPORT. The table contains account-level impressions, clicks, spend, eCPM, and engagement metrics broken down by country, region, location, and ZIP-code geo targeting.
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Salesforce
We have upgraded our Salesforce and Salesforce Sandbox connectors from version 65.0 to 66.0 of the Salesforce REST API. For more information, see Salesforce documentation.
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Genie Agents enhancements and bug fixes
Markdown tables in Agent mode APIs (Beta): In the Agent mode APIs, table visualizations now return as markdown instead of table visualization attachments, which improves readability. See Parse the report. Longer agent descriptions: Genie Agents now show more of an agent's description by default, so you can see the purpose of each agent at a glance. Comment on answers from Genie One: You can now ad…
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Dashboard enhancements and bug fixes
Rich text in widget titles and descriptions: Visualization widget titles and descriptions now support rich text formatting. Click a widget's title or description to open a formatting toolbar, where you can apply text styling, links, and tables, or enter Markdown text directly. See Format widget titles and descriptions. Hide pivot table column headers: Dashboard authors can now hide the column head…
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Genie One enhancements
Upload PDF files to a conversation (Beta): You can now upload PDF files to a Genie One conversation alongside CSV and Excel files. Genie One parses PDFs asynchronously. See Upload a file. Mention workspace users in document comments: In a document, you can now mention workspace users in a comment. Genie Ontology enabled by default (Public Preview): The ontology is a unified context layer that give…
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Announcement Looker 26.14 will roll out to Looker (original) instances on the following sc
Announcement Looker 26.14 will roll out to Looker (original) instances on the following schedule: Expected deployment start: Monday, August 10, 2026 Expected final deployment and download available: Sunday, August 23, 2026 Looker 26.14 is expected to include the following changes, features, and fixes. Looker (Google Cloud core) only changes Fixed An issue has been fixed where users with Admin via…
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Announcement Looker 26.14 will roll out to Looker (original) instances on the following sc
Announcement Looker 26.14 will roll out to Looker (original) instances on the following schedule: Expected deployment start: Monday, August 10, 2026 Expected final deployment and download available: Sunday, August 23, 2026 Looker 26.14 is expected to include the following changes, features, and fixes. Looker (Google Cloud core) only changes Change The timeout length for Conversational Analytics qu…
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1.61.1
Full Changelog: 1.61.0...1.61.1
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2026.08.0 : Introducing Interfaces
Availability Feature CE / Free Paid / Enterprise Interfaces – ✅ Interfaces Interfaces let you build custom, easy-to-use apps on top of your base data. Instead of giving everyone access to the full base with all its tables, views, and configuration options, you design focused pages that surface exactly the data and actions each audience needs: a review queue for approvers, a dashboard for leadershi…
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1.61.1.dev20260804
Streamlit nightly 1.61.1.dev20260804
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Lakebase support for compliance security profile standards
Lakebase is now available by default for workspaces with the compliance security profile enabled and either HIPAA, C5, or TISAX controls selected, and for workspaces with the compliance security profile enabled without a compliance standard. See Data protection.
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JAR tasks on serverless compute are now generally available
Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute, without provisioning or managing clusters. See Create and run JARs on serverless compute.
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Search and replace text across files
You can now search and replace text across files in a Databricks Git folder or Declarative Automation Bundles project from the Search pane. See Search and replace across files.
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REPLACE USING flows for pipelines (Beta)
REPLACE USING flows are now available in Lakeflow pipelines in Beta. Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged. A SEQUENCE BY column orders the updates, so the highest sequence for a key always wins, even when updates arrive out of or…
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Snapchat Ads
We've added two new columns, objective_v2_type and promotion_type, to the CAMPAIGN_HISTORY table.
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LinkedIn Ad Analytics
We've added a new table, VIDEO. The table contains video media assets referenced by posts, including the download URL, its expiration time, duration, aspect ratio, thumbnail, owner, and processing status.