Databricks (@databricks) header
Databricks (@databricks) profile picture

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

Joined July 2013
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
16
38
7
166
11,070
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
19
28
16
206
20,360
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
2
8
59
3,829
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
2
7
72
3,115
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
2
1
22
2,925
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.
8
12
5
56
11,963
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
11
1
63
7,241
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
6
7
62
4,946
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
2
5
33
3,729
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.
14
19
2
102
15,205
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
5
8
2
40
3,401
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
6
7
4
85
8,123
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
3
6
1
67
5,063
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
3
12
3
62
4,335
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
8
13
4
117
11,401
Agents can build software. But what about the databases behind it? Databricks VP of Engineering and @neondatabase co-founder @nikitabase joined @MTSlive to talk about database branching, serverless architecture, and building for both AI agents and enterprise workloads. youtube.com/watch?v=ip3v3Wfaโ€ฆ
6
8
3
69
6,539
Data prep doesn't have to start with code. Lakeflow Designer lets you prepare and transform data directly in Databricks using a visual, no-code interface. Great walkthrough from @joshbogran.
As a long time fan of making @databricks accessible to everyone, I love how it is easier and easier for business users with limited technical background to use many of Databricks' capabilities. Check out Lakeflow Designer: youtu.be/IkgV9KWGksA
1
5
1
37
4,162
Enterprise AI is only as useful as the data and business context behind it. At #DataAIWorldTour 2026, see how organizations are building AI apps and agents grounded in their enterprise data, while maintaining control over usage, costs, and choice. Join Databricks leaders, customers and partners for the latest on Genie, Agent Bricks, Lakebase and Unity Gateway. 13 free, one-day events remain across North America, Europe and Asia. Find a stop near you: databricks.com/dataaisummit/โ€ฆ
3
2
28
3,077
Spatial SQL and spatial joins are now supported on Lakehouse//RT! In SpatialBench, queries ran up to 38X faster at 50 concurrent users than a traditional cloud data warehouse, among queries it could complete. databricks.com/blog/geospatiโ€ฆ
1
4
1
39
3,452
Introducing Apache Sparkยฎ 4.3, now available in Databricks Runtime 19! The release brings major new capabilities across real-time processing, history-preserving pipelines, small-data performance, Spark Connect, and SQL. Whatโ€™s new: - Bring state to Real-Time Mode with streaming aggregation and transformWithState - Preserve history with SCD Type 2 Auto CDC - Iterate faster on small data with Project Feather - Reach Spark from more applications with expanded Spark Connect capabilities It also begins a new quarterly feature-release cadence, bringing completed improvements to users sooner. Get started: databricks.com/blog/introducโ€ฆ
3
14
4
137
15,796