--- title: Unifying Data and Governance in the Agentic Era: What’s... description: Azure Databricks announced several major updates at Data + AI Summit 2026 focused on four pillars: real-time data foundations, AI-powered productivity... canonical: https://daily.dev/posts/unifying-data-and-governance-in-the-agentic-era-what-s-new-with-azure-databricks-hblz5jw8h twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks | daily.dev og:description: Azure Databricks announced several major updates at Data + AI Summit 2026 focused on four pillars: real-time data foundations, AI-powered productivity... og:url: https://daily.dev/posts/unifying-data-and-governance-in-the-agentic-era-what-s-new-with-azure-databricks-hblz5jw8h og:image: https://api.daily.dev/og/posts/HBlZ5JW8h.png og:image:alt: Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks **[databricks](https://daily.dev/sources/databricks)** · 8 min read · 1 upvotes · 0 comments ## Summary Azure Databricks announced several major updates at Data + AI Summit 2026 focused on four pillars: real-time data foundations, AI-powered productivity integrations, agentic marketing, and governance. Key releases include Lakebase (a serverless Postgres database with copy-on-write branching for safe AI agent debugging), Lakehouse//RT (sub-second analytical queries powered by the Reyden engine), native OneLake interoperability, Genie integration for Microsoft Teams and M365 Copilot, an Excel Add-in with write-back support, a SharePoint Connector via Lakeflow Connect, and CustomerLake — an agentic Customer Data Platform embedded in the lakehouse. Governance is anchored by the Genie Ontology semantic engine and Unity AI Gateway for centralized model rate limiting and spend controls. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Reinventing Government with the Databricks Data Intelligence Platform](https://daily.dev/posts/reinventing-government-with-the-databricks-data-intelligence-platform-ld7gywrze) · databricks · 0 upvotes · 0 comments - [Databricks wants to merge the two databases every company runs](https://daily.dev/posts/databricks-wants-to-merge-the-two-databases-every-company-runs-mivqdovba) · The New Stack · 2 upvotes · 0 comments - [Vertical Advantage: Transforming Industries with Lakebase and Agentic AI](https://daily.dev/posts/vertical-advantage-transforming-industries-with-lakebase-and-agentic-ai-vjzkhanrp) · databricks · 1 upvotes · 0 comments - [Rebuilding the data stack for AI](https://daily.dev/posts/rebuilding-the-data-stack-for-ai-8s5vdavcw) · MIT Technology Review · 1 upvotes · 0 comments - [What’s New in Azure Databricks at FabCon 2026: Lakebase, Lakeflow, and Genie](https://daily.dev/posts/what-s-new-in-azure-databricks-at-fabcon-2026-lakebase-lakeflow-and-genie-vyhyzwmgo) · databricks · 1 upvotes · 0 comments --- Tags: [#azure](https://daily.dev/tags/azure), [#ai-agents](https://daily.dev/tags/ai-agents), [#big-data](https://daily.dev/tags/big-data), [#data-engineering](https://daily.dev/tags/data-engineering), [#real-time-analytics](https://daily.dev/tags/real-time-analytics) [View this post on daily.dev](https://daily.dev/posts/unifying-data-and-governance-in-the-agentic-era-what-s-new-with-azure-databricks-hblz5jw8h) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks","url":"https://daily.dev/posts/unifying-data-and-governance-in-the-agentic-era-what-s-new-with-azure-databricks-hblz5jw8h","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/unifying-data-and-governance-in-the-agentic-era-what-s-new-with-azure-databricks-hblz5jw8h"},"datePublished":"2026-06-16T13:03:26.623Z","dateModified":"2026-06-16T13:06:47.305Z","description":"Azure Databricks announced several major updates at Data + AI Summit 2026 focused on four pillars: real-time data foundations, AI-powered productivity...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/db717c6465b9fbe3d7c4dfadc9942a41?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/db717c6465b9fbe3d7c4dfadc9942a41?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"databricks","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"databricks","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/fa7aa720f2db4d1eba826814730482c8","url":"https://daily.dev/sources/databricks"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/unifying-data-and-governance-in-the-agentic-era-what-s-new-with-azure-databricks-hblz5jw8h","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"azure,ai-agents,big-data,data-engineering,real-time-analytics","timeRequired":"PT8M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"databricks","item":"https://daily.dev/sources/databricks"},{"@type":"ListItem","position":3,"name":"Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks"}]} ```