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Moonshot AI's latest open-weight model, Kimi K3, is now available on Databricks through Unity AI Gateway. @Kimi_Moonshot Run Kimi K3 where your data already lives - governed, secure, and ready for custom AI apps and agents built with the data in your Lakehouse. Unity AI Gateway lets you deploy Kimi K3 with enterprise-grade access controls. Govern every call, monitor performance, and scale securely across your AI apps. Test Kimi K3 alongside other frontier models without changing your application code. The open-weight frontier just arrived on Databricks. Try it today. https://www.databricks.com/blog/kimi-k3-moonshot-ai-now-available-databricks-through-unity-ai-gateway
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Moonshot AI's latest open-weight model, Kimi K3, is now available on Databricks through Unity AI Gateway. @Kimi_Moonshot Run Kimi K3 where your data already lives - governed, secure, and ready for custom AI apps and agents built with the data in your Lakehouse. Unity AI Gateway lets you deploy Kimi K3 with enterprise-grade access controls. Govern every call, monitor performance, and scale securely across your AI apps. Test Kimi K3 alongside other frontier models without changing your application code. The open-weight frontier just arrived on Databricks. Try it today. https://www.databricks.com/blog/kimi-k3-moonshot-ai-now-available-databricks-through-unity-ai-gateway
#DataAISummit is less than one week away! If you're still locking in your schedule, we've highlighted a few sessions worth adding to your agenda. AI agents, production AI, AI-native applications, and the future of the agentic stack will be front and center throughout the week. Explore the full agenda: https://t.co/4gfseUHAZm
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#DataAISummit is less than one week away! If you're still locking in your schedule, we've highlighted a few sessions worth adding to your agenda. AI agents, production AI, AI-native applications, and the future of the agentic stack will be front and center throughout the week. Explore the full agenda: https://t.co/4gfseUHAZm
Today we announced Databricks Q4 results: * Surpassing $5.4B revenue run-rate, growing >65% year-over-year * Delivering positive free cash flow over the last 12 months * Crossing $1.4 billion revenue run-rate for our AI products Databricks is also completing investments in the company in excess of $7 billion, including ~$5B of equity financing at a $134 billion valuation and ~$2B of additional debt capacity. “We’re seeing overwhelming investor interest in our next chapter as we go after two new markets,” said @alighodsi, co-founder and CEO of Databricks. “With this new capital, we’ll double down on Lakebase so developers can create operational databases built for AI agents. At the same time, we’re investing in Genie to let every employee chat with their data, driving accurate and actionable insights.” https://t.co/BKcwpqKB9X
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Today we announced Databricks Q4 results: * Surpassing $5.4B revenue run-rate, growing >65% year-over-year * Delivering positive free cash flow over the last 12 months * Crossing $1.4 billion revenue run-rate for our AI products Databricks is also completing investments in the company in excess of $7 billion, including ~$5B of equity financing at a $134 billion valuation and ~$2B of additional debt capacity. “We’re seeing overwhelming investor interest in our next chapter as we go after two new markets,” said @alighodsi, co-founder and CEO of Databricks. “With this new capital, we’ll double down on Lakebase so developers can create operational databases built for AI agents. At the same time, we’re investing in Genie to let every employee chat with their data, driving accurate and actionable insights.” https://t.co/BKcwpqKB9X
Introducing Smart Routing in Unity AI Gateway. Stop overpaying for AI. Smart Routing matches each coding task to the right model and harness based on what the task needs, so higher-cost models can differentiate on intelligence while lower-cost models differentiate on cost and performance. Match frontier quality and cut task costs by 30%+. https://www.databricks.com/blog/smart-routing-unity-ai-gateway-match-frontier-quality-30-lower-cost-task?utm_source=twitter&amp
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Introducing Smart Routing in Unity AI Gateway. Stop overpaying for AI. Smart Routing matches each coding task to the right model and harness based on what the task needs, so higher-cost models can differentiate on intelligence while lower-cost models differentiate on cost and performance. Match frontier quality and cut task costs by 30%+. https://www.databricks.com/blog/smart-routing-unity-ai-gateway-match-frontier-quality-30-lower-cost-task?utm_source=twitter&amp
Today, we’re proud to announce Databricks as the new sponsor of Cal Bears Field! 🐻 All seven of our co-founders are Cal alumni. The earliest lines of what would become Databricks were written at Berkeley’s Soda Hall, fueled by late nights and a shared belief that data and AI could accelerate human progress. This sponsorship is our way of investing in the next generation of researchers and builders who’ll have their own breakthroughs there. Our mission has always been to democratize data and AI. It started at Cal. We’re glad to help it continue there. Go Bears. 💙 https://www.databricks.com/company/newsroom/press-releases/soda-hall-football-field-databricks-returns-berkeley-roots-cal
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Today, we’re proud to announce Databricks as the new sponsor of Cal Bears Field! 🐻 All seven of our co-founders are Cal alumni. The earliest lines of what would become Databricks were written at Berkeley’s Soda Hall, fueled by late nights and a shared belief that data and AI could accelerate human progress. This sponsorship is our way of investing in the next generation of researchers and builders who’ll have their own breakthroughs there. Our mission has always been to democratize data and AI. It started at Cal. We’re glad to help it continue there. Go Bears. 💙 https://www.databricks.com/company/newsroom/press-releases/soda-hall-football-field-databricks-returns-berkeley-roots-cal
We are excited to share our strong Q3 results: - Growing >55% year over year, surpassing $4.8 billion revenue run-rate - Exceeding $1 billion revenue run-rate for our Data Warehousing business - Exceeding $1 billion revenue run-rate for our AI products - Positive free cash flow over the last 12 months We are also raising an >$4B Series L investment, valuing the company at $134 billion. With this investment, we’ll help customers accelerate the development of Data Intelligent apps. Congratulations to our employees, customers, partners and investors! https://t.co/hlfKXx33eD
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We are excited to share our strong Q3 results: - Growing >55% year over year, surpassing $4.8 billion revenue run-rate - Exceeding $1 billion revenue run-rate for our Data Warehousing business - Exceeding $1 billion revenue run-rate for our AI products - Positive free cash flow over the last 12 months We are also raising an >$4B Series L investment, valuing the company at $134 billion. With this investment, we’ll help customers accelerate the development of Data Intelligent apps. Congratulations to our employees, customers, partners and investors! https://t.co/hlfKXx33eD
“We made a virtual C-suite. It serves small business owners by creating a suite of agents to help them manage cash flow, investments and more. Standardizing on Lakebase has been critical.” Fed Cohen Freue, EVP of AI & Data Operations at Mastercard, on how a unified infrastructure has helped accelerate solutions. “We are uncompromising in our approach to how to manage and govern our AI and data. Lakabase built that foundation from the start.”
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“We made a virtual C-suite. It serves small business owners by creating a suite of agents to help them manage cash flow, investments and more. Standardizing on Lakebase has been critical.” Fed Cohen Freue, EVP of AI & Data Operations at Mastercard, on how a unified infrastructure has helped accelerate solutions. “We are uncompromising in our approach to how to manage and govern our AI and data. Lakabase built that foundation from the start.”
Databricks is raising over $4 billion in Series L funding, valuing the data and AI company at $134 billion. Databricks CEO @alighodsi attributed the company’s revenue run-rate growth, which is up 55% year-over-year, to the idea that businesses are building data intelligent applications that use AI. @bellelin_ covers the latest in @WSJ: https://t.co/HPdx9FkBNS
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Databricks is raising over $4 billion in Series L funding, valuing the data and AI company at $134 billion. Databricks CEO @alighodsi attributed the company’s revenue run-rate growth, which is up 55% year-over-year, to the idea that businesses are building data intelligent applications that use AI. @bellelin_ covers the latest in @WSJ: https://t.co/HPdx9FkBNS
Today we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards. This isn't a smarter autocomplete. It's a different kind of AI partner entirely. Unlike general coding agents that stop once the code is built, Genie Code plans, executes, and iterates across the full data and AI lifecycle inside Databricks. It's purpose-built for data engineering, data science, and BI: • More than doubles the success rate of leading coding agents on real-world data science tasks • Proactively monitors your pipelines and AI models in the background, triaging failures and fixing issues before a human intervenes • Works with your data wherever it lives, across Databricks and external platforms, with full governance and MCP support This is what the future of data work looks like. https://t.co/xhwuZqrJEn
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Today we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards. This isn't a smarter autocomplete. It's a different kind of AI partner entirely. Unlike general coding agents that stop once the code is built, Genie Code plans, executes, and iterates across the full data and AI lifecycle inside Databricks. It's purpose-built for data engineering, data science, and BI: • More than doubles the success rate of leading coding agents on real-world data science tasks • Proactively monitors your pipelines and AI models in the background, triaging failures and fixing issues before a human intervenes • Works with your data wherever it lives, across Databricks and external platforms, with full governance and MCP support This is what the future of data work looks like. https://t.co/xhwuZqrJEn
.@OpenAI GPT-5.5 is now available on Databricks, with Codex coding workflows and model inference fully governed through Unity AI Gateway. With GPT-5.5 on Databricks, you can: - Power coding workflows with Codex or other coding agents - Build custom agents grounded in enterprise data - Ask business questions in natural language from enterprise data with Genie - Automate document intelligence pipelines with Lakeflow Spark Declarative Pipelines Hear more from our co-founder, @pwendell, and OpenAI CRO @dhdresser about how Databricks and OpenAI are bringing frontier AI to the enterprise. Get started today: https://t.co/5ijHpc71y3
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.@OpenAI GPT-5.5 is now available on Databricks, with Codex coding workflows and model inference fully governed through Unity AI Gateway. With GPT-5.5 on Databricks, you can: - Power coding workflows with Codex or other coding agents - Build custom agents grounded in enterprise data - Ask business questions in natural language from enterprise data with Genie - Automate document intelligence pipelines with Lakeflow Spark Declarative Pipelines Hear more from our co-founder, @pwendell, and OpenAI CRO @dhdresser about how Databricks and OpenAI are bringing frontier AI to the enterprise. Get started today: https://t.co/5ijHpc71y3
We’re excited to announce that Databricks is raising strategic funding, valuing the company at $188 billion. We’ll use this new capital to accelerate our AI offerings for customers, including: - Unity AI Gateway, our multi-AI governance solution that helps enterprises govern and control the costs of their AI - Genie, our AI coworker that turns business data into trusted answers and actions - Lakebase, our serverless Postgres database built for AI agents https://www.databricks.com/company/newsroom/press-releases/databricks-raising-strategic-round-funding-188-billion-valuation
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We’re excited to announce that Databricks is raising strategic funding, valuing the company at $188 billion. We’ll use this new capital to accelerate our AI offerings for customers, including: - Unity AI Gateway, our multi-AI governance solution that helps enterprises govern and control the costs of their AI - Genie, our AI coworker that turns business data into trusted answers and actions - Lakebase, our serverless Postgres database built for AI agents https://www.databricks.com/company/newsroom/press-releases/databricks-raising-strategic-round-funding-188-billion-valuation

New York is becoming one of Databricks’ biggest AI hubs. 🗽 We’re expanding at 5 Bryant Park to ~120,000 square feet across five floors, including a dedicated Engineering and Research floor. With teams building technologies behind Genie, Unity Gateway and CustomerLake, our momentum in NYC is only growing.

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New York is becoming one of Databricks’ biggest AI hubs. 🗽 We’re expanding at 5 Bryant Park to ~120,000 square feet across five floors, including a dedicated Engineering and Research floor. With teams building technologies behind Genie, Unity Gateway and CustomerLake, our momentum in NYC is only growing.
Big news: @GetRowZero is joining Databricks! 📊 We’re bringing a native, fully governed spreadsheet experience to Databricks Genie, combining the flexibility of spreadsheets with enterprise-grade security and lineage powered by Unity Catalog. Finance, operations, sales, and marketing teams will be able to work, model scenarios, and collaborate using standard spreadsheet logic without leaving their data and AI foundation. Welcome to the team, Row Zero! 🚀 https://www.databricks.com/company/newsroom/press-releases/databricks-acquires-row-zero-bringing-live-governed-spreadsheets
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Big news: @GetRowZero is joining Databricks! 📊 We’re bringing a native, fully governed spreadsheet experience to Databricks Genie, combining the flexibility of spreadsheets with enterprise-grade security and lineage powered by Unity Catalog. Finance, operations, sales, and marketing teams will be able to work, model scenarios, and collaborate using standard spreadsheet logic without leaving their data and AI foundation. Welcome to the team, Row Zero! 🚀 https://www.databricks.com/company/newsroom/press-releases/databricks-acquires-row-zero-bringing-live-governed-spreadsheets
Introducing MemCurrent, a persistent memory architecture designed to help production agents stop starting from zero. MemCurrent combines episodic memory with derived memory across three access patterns: • Plugins to log and load context automatically • Tools the agent calls on demand • An offline “dreaming” pipeline that consolidates memory in the background Agents carry forward user preferences, prior corrections, metric definitions and successful workflows instead of rediscovering them every session. On our internal benchmark built from real enterprise data, MemCurrent triples the agent's pass rate while using 31% fewer tokens and running 26% faster. It's built into Agent Bricks' Memory offering and already powers memory in Genie. Read the research: https://www.databricks.com/blog/memcurrent-designing-persistent-memory-production-agents?utm_source=twitter&amp
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Introducing MemCurrent, a persistent memory architecture designed to help production agents stop starting from zero. MemCurrent combines episodic memory with derived memory across three access patterns: • Plugins to log and load context automatically • Tools the agent calls on demand • An offline “dreaming” pipeline that consolidates memory in the background Agents carry forward user preferences, prior corrections, metric definitions and successful workflows instead of rediscovering them every session. On our internal benchmark built from real enterprise data, MemCurrent triples the agent's pass rate while using 31% fewer tokens and running 26% faster. It's built into Agent Bricks' Memory offering and already powers memory in Genie. Read the research: https://www.databricks.com/blog/memcurrent-designing-persistent-memory-production-agents?utm_source=twitter&amp
80% of enterprise data is unstructured, locked in PDFs, reports, and diagrams that traditional tools can’t parse or govern. Introducing ai_parse_document, state-of-the-art document intelligence on Databricks. With a single SQL command, teams can now turn any document into structured, queryable data, unlocking context that agents can finally reason over — at up to 5× lower cost. • Capture every element — tables, figures, and diagrams — with AI-generated descriptions and precise bounding boxes • Process at scale with Lakeflow and govern everything in Unity Catalog • Use parsed data seamlessly across Agent Bricks, Vector Search, and AI/BI Now in Public Preview! https://t.co/VwKTtshwoJ
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80% of enterprise data is unstructured, locked in PDFs, reports, and diagrams that traditional tools can’t parse or govern. Introducing ai_parse_document, state-of-the-art document intelligence on Databricks. With a single SQL command, teams can now turn any document into structured, queryable data, unlocking context that agents can finally reason over — at up to 5× lower cost. • Capture every element — tables, figures, and diagrams — with AI-generated descriptions and precise bounding boxes • Process at scale with Lakeflow and govern everything in Unity Catalog • Use parsed data seamlessly across Agent Bricks, Vector Search, and AI/BI Now in Public Preview! https://t.co/VwKTtshwoJ
Introducing 𝗢𝗺𝗻𝗶𝗴𝗲𝗻𝘁, a meta-harness to combine, control, and share your agents. The best teams already mix models and harnesses and design loops that drive teams of agents. No single harness can keep up with that alone. So we built the layer above — we call it a 𝗺𝗲𝘁𝗮-𝗵𝗮𝗿𝗻𝗲𝘀𝘀. Omnigent sits above the tools you already use, Claude Code, Codex, Pi, and your own agents, and gives them one shared layer: • 𝗖𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻: combine models, harnesses, and techniques without rewriting code, and switch between them with one-line changes • 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: stateful, data-centric policies and cost budgets enforced at the meta-harness layer, not via prompts — let agents run without watching them • 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: share a live agent session via URL with full history, so teammates can review, comment, and steer in real time Every session is reachable from a terminal, the web, a desktop app, and your phone. We built Omnigent for our own use at Databricks and are open sourcing it under Apache 2.0. https://t.co/hOpOJTrdZH
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Introducing 𝗢𝗺𝗻𝗶𝗴𝗲𝗻𝘁, a meta-harness to combine, control, and share your agents. The best teams already mix models and harnesses and design loops that drive teams of agents. No single harness can keep up with that alone. So we built the layer above — we call it a 𝗺𝗲𝘁𝗮-𝗵𝗮𝗿𝗻𝗲𝘀𝘀. Omnigent sits above the tools you already use, Claude Code, Codex, Pi, and your own agents, and gives them one shared layer: • 𝗖𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻: combine models, harnesses, and techniques without rewriting code, and switch between them with one-line changes • 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: stateful, data-centric policies and cost budgets enforced at the meta-harness layer, not via prompts — let agents run without watching them • 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: share a live agent session via URL with full history, so teammates can review, comment, and steer in real time Every session is reachable from a terminal, the web, a desktop app, and your phone. We built Omnigent for our own use at Databricks and are open sourcing it under Apache 2.0. https://t.co/hOpOJTrdZH
Today we’re announcing Lakewatch — a new open, agentic SIEM. Security has changed. Attackers now use agents, operating 24/7 at machine scale, while legacy security tools were built for human-speed threats. We need tools where agents work alongside humans to keep up. Lakewatch brings a new architecture for this agentic era: • Ingest and store all enterprise data, including multimodal sources • Analyze it alongside business data with full governance • Use AI agents to automate detection, investigation, and response Security requires a fundamental platform shift. This is how teams can fight agents with agents. https://t.co/sbYhzMog46
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Today we’re announcing Lakewatch — a new open, agentic SIEM. Security has changed. Attackers now use agents, operating 24/7 at machine scale, while legacy security tools were built for human-speed threats. We need tools where agents work alongside humans to keep up. Lakewatch brings a new architecture for this agentic era: • Ingest and store all enterprise data, including multimodal sources • Analyze it alongside business data with full governance • Use AI agents to automate detection, investigation, and response Security requires a fundamental platform shift. This is how teams can fight agents with agents. https://t.co/sbYhzMog46
Today, we’re pleased to share strong momentum across our business, including crossing $7B in revenue run-rate and achieving >80% year-over-year growth in Q2. We also shared: • >$100M revenue run-rate for Lakebase • >$1.5B revenue run-rate for Lakehouse • Closed $5B in new strategic funding at a $190B valuation This new capital will fuel investments in Genie, Lakebase and Unity AI Gateway so we can help customers scale AI with greater context, control and choice. Learn more: https://www.databricks.com/company/newsroom/press-releases/databricks-grows-80-yoy-surpasses-7b-revenue-run-rate-scales?utm_source=twitter&amp
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Today, we’re pleased to share strong momentum across our business, including crossing $7B in revenue run-rate and achieving >80% year-over-year growth in Q2. We also shared: • >$100M revenue run-rate for Lakebase • >$1.5B revenue run-rate for Lakehouse • Closed $5B in new strategic funding at a $190B valuation This new capital will fuel investments in Genie, Lakebase and Unity AI Gateway so we can help customers scale AI with greater context, control and choice. Learn more: https://www.databricks.com/company/newsroom/press-releases/databricks-grows-80-yoy-surpasses-7b-revenue-run-rate-scales?utm_source=twitter&amp
Introducing Databricks Student Fellows, a new program for students passionate about data, AI, and computer science! Fellows get hands-on experience with the Databricks platform, opportunities to earn certifications, and the chance to build real-world projects that reflect how companies solve data and AI challenges at scale. They’ll also lead hackathons, tech talks, and campus communities while opening pathways to internships and careers across the Databricks ecosystem. Applications for the first cohort are now open: https://t.co/kK5d4DYnBp
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Introducing Databricks Student Fellows, a new program for students passionate about data, AI, and computer science! Fellows get hands-on experience with the Databricks platform, opportunities to earn certifications, and the chance to build real-world projects that reflect how companies solve data and AI challenges at scale. They’ll also lead hackathons, tech talks, and campus communities while opening pathways to internships and careers across the Databricks ecosystem. Applications for the first cohort are now open: https://t.co/kK5d4DYnBp
Making Data and AI @Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends. https://t.co/ZhFP2rEzJm
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Making Data and AI @Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends. https://t.co/ZhFP2rEzJm

Databricks (@databricks) X Stats & Analytics

Databricks (@databricks) has 99.3K X followers with a 0.89% engagement rate over the past 12 months. Across 1.09K posts, Databricks received 46.6K total likes and 5.49M impressions, averaging 42.9 likes per post. This page tracks Databricks's performance metrics, top content, and engagement trends — updated daily. To benchmark @databricks against other accounts, use Socialpruf's X competitor analysis tool.

Databricks (@databricks) X Analytics FAQ

How many X (Twitter) followers does Databricks have?+
Databricks (@databricks) has 99.3K X (Twitter) followers as of November 2026.
What is Databricks's X (Twitter) engagement rate?+
Databricks's X (Twitter) engagement rate is 0.89% over the last 12 months, based on 1.09K posts.
How many likes does Databricks get on X (Twitter)?+
Databricks received 46.6K total likes across 1.09K posts in the last 12 months, averaging 42.9 likes per post.
How many X (Twitter) impressions does Databricks get?+
Databricks's X (Twitter) content generated 5.49M total impressions over the last 12 months.
Can I compare Databricks with other X accounts?+
Yes. Add @databricks to a competitor set with Socialpruf's X competitor analysis tool and benchmark it side by side with any other public accounts on views, engagement rate and follower growth, with history back to each account's first post.