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Databricks is the Data + AI company, helping organizations build and scale data and AI apps, analytics and agents.

Joined July 2013
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๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ป๐—ฒ๐˜„ ๐—š๐—ฒ๐—ป๐—ถ๐—ฒ: an always-on, autonomous AI coworker that proactively handles long-running work within your organization's guardrails. AI assistants can answer questions and run analyses. But most enterprise work is complex and continuous, requiring teams to track changes, follow up, and take action. Genie Ontology is now generally available, providing the shared business context behind it. The agentic ontology now includes new knowledge sources and new ways to curate and govern that context. New capabilities across Genie Agents and plugins extend that same context to more workflows and AI tools. Here's what's new: databricks.com/blog/new-geniโ€ฆ
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Databricks retweeted
Lakebase will mark a phase shift in database technology! It'll enable LTAP, true multi-master, etc.
There are two unclimbable mountains in database world: 1 Combined transactional/analytical processing 2 true multi-master scale out We are making significant progress on both in Lakebase
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Databricks retweeted
Genie has transformed how I work as CTO at Databricks, even more than coding agents. It connects across production data, GitHub, Drive, Slack and the web, and automatically learns from this data (Genie Ontology), so I can ask it to do stuff like: - Tell me how competitors position vs each of our products and which critiques are valid - Find when and why a design decision was made - Find bugs based on production events + code changes - Prototype code changes that would speed up our slowest services in production Really, it can do so much stuff that I would never even bother to ask a person that it totally changes how you work and the size of tasks you can take on directly. Learn more about our latest release of Genie: databricks.com/blog/new-geniโ€ฆ
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Introducing Databricks Genie plugins for ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot! More data doesn't automatically mean better answers. An AI agent may find the right data but still use the wrong context. Now, your agents can tap into Genie to access governed business context, investigate questions across data and documents, and return answers with citations, all within their existing workflow. Build your Ontology once. Bring it to the AI tools your teams already use. databricks.com/blog/bring-yoโ€ฆ
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๐—ก๐—ฒ๐˜„ ๐—ถ๐—ป ๐—š๐—ฒ๐—ป๐—ถ๐—ฒ ๐—ข๐—ป๐—ฒ: dynamic dashboards and slides, more ways to search, org directories, shareable skills, tracing, and more! Work rarely stays in one application. Genie One brings search, finished work, and actions across connected tools into one home for AI cowork, grounded in Genie Ontology. Through Unity Gateway, admins can trace sources and actions, control tool access and approvals, and manage usage and costs, helping teams scale AI cowork confidently. databricks.com/blog/genie-onโ€ฆ
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At 12,000 employees, AI Ghodsi is the first to admit that he can't know everyone and that they are unlikely to confess the things that go wrong to him. But he doesn't need them to. He uses Databricks' newly revised Genie agent for that. spr.ly/6015ByECHx
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Genie Ontology is now Generally Available. Most business knowledge isn't formally modeled. It lives in dashboards, SQL queries, notebooks and documents. Genie Ontology learns from everyday work, combines that context with governed Unity Catalog semantics, and ranks sources by authority so agents use trusted information. What's new: - ๐—š๐—ฒ๐—ป๐—ถ๐—ฒ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต: Search enterprise knowledge across Google Drive, Jira, Confluence and Workday - ๐—˜๐˜…๐˜๐—ฒ๐—ฟ๐—ป๐—ฎ๐—น ๐—ธ๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ (Beta): Bring in business logic from Power BI - ๐—ข๐—ฟ๐—ด๐—ฎ๐—ป๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ๐—ถ๐—ฒ๐˜€: Add people, teams and reporting relationships - ๐—จ๐—ป๐—ถ๐˜๐˜† ๐—–๐—ฎ๐˜๐—ฎ๐—น๐—ผ๐—ด ๐——๐—ผ๐—บ๐—ฎ๐—ถ๐—ป๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฃ๐—ฎ๐—ด๐—ฒ๐˜€: Now GA - ๐—ข๐—ป๐˜๐—ผ๐—น๐—ผ๐—ด๐˜† ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—ฟ: Coming soon in Beta for curation and governance In a benchmark developed with @turingcom, Genie with Genie Ontology delivers 1.6ร— the accuracy with less than half the tokens. databricks.com/blog/announciโ€ฆ
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Databricks retweeted
A year ago, I ran @databricks totally differently from today. Getting stuff done at Databricks involved calling ppl, scheduling meetings, and lots of back and forth. Today, I just wake up and use Genie, which works for me in the background. I often just use the phone app to queue up work in the background. Three examples from just this week: โ†’ Org charts. How do we flatten the org? It literally found me the hotspots where many projects had gotten stuck. Turns out the data was already in the ontology graph. โ†’ New internal project everyone raves about (Keanu). Genie monitored the slack channel, got all the insights, correlated them with the source code, and gave me a dashboard of what I needed. โ†’ New culture survey. Used ontology to figure out from the org chart, work output, and survey scores, which leaders are AI pilled. Why certain scores (e.g. work-life balance) are so low. These are things that used to take me hours and many meetings, often waiting for the data science team. This is possible because Genie has access to an Agentic Ontology, so it proactively does all the work in the background for me. Learn more about our next-generation release of Genie: databricks.com/blog/new-geniโ€ฆ
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Starting in one hour ๐Ÿงž
Something's loading... Tomorrow, join Databricks Co-founder and CEO @alighodsi, @OpenAI Co-founder and President @gdb, and other special guests for DATA + AI LIVE and a first look at the next generation of Genie, the data smart AI coworker. Context is just the beginning. 9 AM PT. Save your spot: linkedin.com/events/data-ailโ€ฆ
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Gemini 4 Carbon. Day 0 on Databricks. Google's strongest model for complex coding, scientific reasoning, and long-running agent workflows is available on Databricks the same day it opened to developers. In our enterprise-document testing, Carbon scored 66.7% on OfficeQA Pro v2, compared with 57.8% for Gemini 4 Argon, our previous best Gemini result. Now put it to work on your own data. Unity Gateway handles access, usage limits, and spend tracking across Carbon and every other model your teams use.
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Something's loading... Tomorrow, join Databricks Co-founder and CEO @alighodsi, @OpenAI Co-founder and President @gdb, and other special guests for DATA + AI LIVE and a first look at the next generation of Genie, the data smart AI coworker. Context is just the beginning. 9 AM PT. Save your spot: linkedin.com/events/data-ailโ€ฆ
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Databricks retweeted
Iโ€™m speaking at the @aiDotEngineer about agent infra for the next generation of agents! Join me Wednesday, 11:45AM on the main stage Session details here: ai.engineer/code/2026/scheduโ€ฆ
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Your app data is already in Postgres. Why move it somewhere else just to search it? Lakebase Search brings vector, BM25 full-text, and hybrid search into the same database as your operational data. You can combine search with live data using SQL, without a separate search engine or ETL pipeline to maintain. Now generally available on AWS and Azure. databricks.com/blog/lakebaseโ€ฆ
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๐ŸŒ Heading to AI Engineer Code Summit? Come build with us! Tomorrow, our own Elise Gonzales and @bradfordc are hosting a hands-on @omnigent_ai workshop. You'll build a GitHub CI workflow that connects specialist agents across models and coding harnesses to review PRs, coordinate repairs, and validate changes. Leave with version-controlled agent configurations and a runnable workflow you can adapt to your own projects. Workshop details โ†“ ai.engineer/code/2026/scheduโ€ฆ
From review comments to tested fixes. Build a PR review and repair workflow with @omnigent_ai, led by Elise Gonzales and @bradfordc of @databricks. Agent roles, permissions, repairs and validation. You leave with a runnable workflow. Nov 10 at AIE CODE, San Francisco. Workshop add-on required. Apply: ai.engineer/code
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Claude Fable 5.2 lands on Databricks on Day 0. Built for coding, finance and science, it sets a new high on our OfficeQA Pro v2 benchmark. Run long-running agents on governed data, with Unity Gateway controlling calls across 70+ models.
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. Theyโ€™re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
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We started by giving engineers access to the most expensive AI coding models and as many tokens as they wanted. Adoption took off. So did costs. At Databricks, we've since reduced AI coding unit costs by up to 90% in some cases through more efficient models, better routing, spend visibility and less token overhead. Our co-founder @pwendell explains what worked and how we kept developers moving. databricks.com/blog/ai-bill-โ€ฆ
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๐Ÿ“„ Document Intelligence REST APIs for parsing, extraction, and classification are now GA. Apps and agents can process documents as they arrive, extract structured data, and surface optional citations for review. Plus, ai_decide is in Beta for routing. databricks.com/blog/power-reโ€ฆ
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A great Genie demo is just the beginning. Here's how to turn early momentum into trusted, organization-wide adoption. โ†’ Start with one team and a clear set of business questions โ†’ Test answers against known-correct results โ†’ Refine business definitions based on feedback โ†’ Expand to adjacent teams as accuracy and governance checks are met Read the step-by-step guide: databricks.com/blog/how-rollโ€ฆ
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You ship code in seconds and build apps, agents, and AI products faster than ever. So why does your database still take hours to provision? Lakebase is a new category of serverless Postgres database built for the way teams write software today, with instant branching, separate compute and storage, and architecture designed to scale with app and agent workloads. Read ๐˜“๐˜ข๐˜ฌ๐˜ฆ๐˜ฃ๐˜ข๐˜ด๐˜ฆ ๐˜๐˜ฐ๐˜ณ ๐˜‹๐˜ถ๐˜ฎ๐˜ฎ๐˜ช๐˜ฆ๐˜ด to learn: โ€ข Why traditional databases break down under modern app and agent workloads โ€ข How separating compute from storage changes cost, speed, and reliability โ€ข What instant branching and cloning unlock for development teams โ€ข How the lakebase architecture fits alongside your lakehouse for unified transactional and analytical work databricks.com/resources/eboโ€ฆ
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You can write data back to Databricks without leaving Excel. Use the Databricks add-in for Excel to make changes and publish them to Unity Catalog tables, with write permissions enforced. Here's how it works โ†“ youtube.com/watch?v=EH2vgQfdโ€ฆ
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