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impressions
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likes
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We’re excited to announce that Databricks is raising a Series K investment that values the company at >$100 billion. We’ll use this new capital to accelerate our AI offerings for customers, including expanding Agent Bricks and investing in our new database offering, Lakebase. Our goal is to make it easier for companies to build AI apps and agents - on their data. Thank you to our investors who continue to support our growth and vision. https://t.co/DNyjRz1Xyd
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We’re excited to announce that Databricks is raising a Series K investment that values the company at >$100 billion. We’ll use this new capital to accelerate our AI offerings for customers, including expanding Agent Bricks and investing in our new database offering, Lakebase. Our goal is to make it easier for companies to build AI apps and agents - on their data. Thank you to our investors who continue to support our growth and vision. https://t.co/DNyjRz1Xyd
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
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
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
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
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
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
Over 100 enterprises are already seeing real impact from the Databricks and Palantir partnership. With @PalantirTech's world-class AI Operating System + the Databricks Platform and Agent Bricks, customers are moving from pilots to production-scale AI deployments faster than ever. Our partnership provides a secure, scalable architecture that enables teams to deploy joint AI workflows quickly and with confidence. See what else our customers are saying: https://t.co/uguIYeNlrS
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Over 100 enterprises are already seeing real impact from the Databricks and Palantir partnership. With @PalantirTech's world-class AI Operating System + the Databricks Platform and Agent Bricks, customers are moving from pilots to production-scale AI deployments faster than ever. Our partnership provides a secure, scalable architecture that enables teams to deploy joint AI workflows quickly and with confidence. See what else our customers are saying: https://t.co/uguIYeNlrS
Big milestone for Databricks! We just shared our strongest results ever: 📈 - Surpassing $4 billion revenue run-rate, growing >50% year over year. - Exceeding $1 billion revenue run-rate for our AI products. We are also closing our Series K funding, raising $1 billion of capital to accelerate our investments in Agent Bricks and Lakebase, to help organizations turn their data into production AI agents. Congratulations to our employees, customers and investors who continue to believe in our vision of building the data and AI infrastructure enterprises will rely on for decades. We’re just getting started. 🚀 https://t.co/Rid4xJmlca
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Big milestone for Databricks! We just shared our strongest results ever: 📈 - Surpassing $4 billion revenue run-rate, growing >50% year over year. - Exceeding $1 billion revenue run-rate for our AI products. We are also closing our Series K funding, raising $1 billion of capital to accelerate our investments in Agent Bricks and Lakebase, to help organizations turn their data into production AI agents. Congratulations to our employees, customers and investors who continue to believe in our vision of building the data and AI infrastructure enterprises will rely on for decades. We’re just getting started. 🚀 https://t.co/Rid4xJmlca
AI agents are no longer just writing code. They’re building the data layer itself. New data shows agents now create 80% of enterprise databases and 97% of dev and test environments. This is evidence of a broader shift in data infrastructure - it needs to evolve to support building intelligent apps at machine-speed iteration. @nikitabase, VP at Databricks and co-founder of @neondatabase, explains what is driving the move to a new kind of database: “The database is the system of record for AI applications. It’s no longer just a place to store rows; it’s the persistent memory and coordination layer for multi-agent systems.” More from @Forbes writer @iamVictorDey: https://t.co/7mr86mhq87
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AI agents are no longer just writing code. They’re building the data layer itself. New data shows agents now create 80% of enterprise databases and 97% of dev and test environments. This is evidence of a broader shift in data infrastructure - it needs to evolve to support building intelligent apps at machine-speed iteration. @nikitabase, VP at Databricks and co-founder of @neondatabase, explains what is driving the move to a new kind of database: “The database is the system of record for AI applications. It’s no longer just a place to store rows; it’s the persistent memory and coordination layer for multi-agent systems.” More from @Forbes writer @iamVictorDey: https://t.co/7mr86mhq87
We're incredibly proud to congratulate our co-founder and CTO, @matei_zaharia, on receiving the ACM Prize in Computing for his development of distributed data systems that have enabled large-scale machine learning, analytics, and AI. Matei's open-source contributions have fundamentally changed how organizations work with data and AI — including Apache Spark™, Delta Lake, and MLflow. Researchers, nonprofits, startups, and enterprises across every industry have built on the foundation he helped create. Now he's pushing the frontier further, focusing on building and scaling reliable AI agents through open-source research like DSPy and GEPA. Matei, this recognition is so well deserved. We're honored to build alongside you every day. https://t.co/mgBvBc3QnP
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We're incredibly proud to congratulate our co-founder and CTO, @matei_zaharia, on receiving the ACM Prize in Computing for his development of distributed data systems that have enabled large-scale machine learning, analytics, and AI. Matei's open-source contributions have fundamentally changed how organizations work with data and AI — including Apache Spark™, Delta Lake, and MLflow. Researchers, nonprofits, startups, and enterprises across every industry have built on the foundation he helped create. Now he's pushing the frontier further, focusing on building and scaling reliable AI agents through open-source research like DSPy and GEPA. Matei, this recognition is so well deserved. We're honored to build alongside you every day. https://t.co/mgBvBc3QnP
We’re excited to announce that Databricks has acquired @mooncakelabs to accelerate the vision of Lakebase, a new category of OLTP database built on Postgres and optimized for AI agents! AI agents are transforming application development, and Lakebase gives developers a single foundation for applications, analytics, and AI – fully integrated with the Lakehouse and Agent Bricks. Together, we will build on this innovation, ensuring Postgres data is immediately ready across workloads, without the overhead of ETL pipelines. Please join us in welcoming the team to Databricks! https://t.co/RsinNvNEWA
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We’re excited to announce that Databricks has acquired @mooncakelabs to accelerate the vision of Lakebase, a new category of OLTP database built on Postgres and optimized for AI agents! AI agents are transforming application development, and Lakebase gives developers a single foundation for applications, analytics, and AI – fully integrated with the Lakehouse and Agent Bricks. Together, we will build on this innovation, ensuring Postgres data is immediately ready across workloads, without the overhead of ETL pipelines. Please join us in welcoming the team to Databricks! https://t.co/RsinNvNEWA
For years, developers have had to bridge the gap between operational databases and analytics with brittle ETL pipelines. That data tax — duplicated storage, persistent lag, fragmented governance — ends today. Azure Databricks Lakebase is now generally available. Lakebase is a managed, serverless Postgres built natively into the Databricks Platform on @Azure, sharing the same storage layer as your lakehouse. Instant branching and zero-copy clones accelerate development without compromising governance. No pipelines to maintain, no data out of sync, one governance model across your entire data estate. https://t.co/rBLroXfYNN
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For years, developers have had to bridge the gap between operational databases and analytics with brittle ETL pipelines. That data tax — duplicated storage, persistent lag, fragmented governance — ends today. Azure Databricks Lakebase is now generally available. Lakebase is a managed, serverless Postgres built natively into the Databricks Platform on @Azure, sharing the same storage layer as your lakehouse. Instant branching and zero-copy clones accelerate development without compromising governance. No pipelines to maintain, no data out of sync, one governance model across your entire data estate. https://t.co/rBLroXfYNN
App development has completely transformed with agents, but the underlying databases have been largely unchanged since the 1980s. Meet: Lakebase. Lakebases are enabled by a fundamentally new design. The core breakthrough is separate storage and compute. Data sits directly in low-cost cloud storage in open formats, while the compute layer runs independently on top. And fully managed, serverless Postgres scales up instantly with demand and down when idle. Learn about this new era of databases: https://t.co/fi0Fe15MCa
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App development has completely transformed with agents, but the underlying databases have been largely unchanged since the 1980s. Meet: Lakebase. Lakebases are enabled by a fundamentally new design. The core breakthrough is separate storage and compute. Data sits directly in low-cost cloud storage in open formats, while the compute layer runs independently on top. And fully managed, serverless Postgres scales up instantly with demand and down when idle. Learn about this new era of databases: https://t.co/fi0Fe15MCa
Big news: Databricks and @OpenAI are partnering to deliver powerful AI to the enterprise. OpenAI frontier models will now be available natively in Databricks. This means you can build, evaluate and scale production-grade AI apps and agents on your governed enterprise data, leveraging the latest OpenAI models like GPT-5. We’re excited to expand our relationship with OpenAI; Databricks was one of the first to host gpt-oss open models, they use Databricks products and now we’re offering OpenAI models natively on Databricks: https://t.co/dXzQX7Ek7Z
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Big news: Databricks and @OpenAI are partnering to deliver powerful AI to the enterprise. OpenAI frontier models will now be available natively in Databricks. This means you can build, evaluate and scale production-grade AI apps and agents on your governed enterprise data, leveraging the latest OpenAI models like GPT-5. We’re excited to expand our relationship with OpenAI; Databricks was one of the first to host gpt-oss open models, they use Databricks products and now we’re offering OpenAI models natively on Databricks: https://t.co/dXzQX7Ek7Z
Today we’re introducing OfficeQA, a new benchmark grounded in ~89,000 pages of U.S. Treasury Bulletins that reflects the complex, document-heavy tasks enterprises actually face. Unlike existing benchmarks, OfficeQA measures economically valuable, real-world reasoning: parsing dense tables, navigating scanned PDFs, and retrieving facts across decades of documents. Even strong agents reach only ~45% accuracy, showing how far the field has to go. The benchmark is now open to the community, and the Databricks Grounded Reasoning Cup in Spring 2026 will challenge teams to push these capabilities forward. https://t.co/LaZdRSvdeK
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Today we’re introducing OfficeQA, a new benchmark grounded in ~89,000 pages of U.S. Treasury Bulletins that reflects the complex, document-heavy tasks enterprises actually face. Unlike existing benchmarks, OfficeQA measures economically valuable, real-world reasoning: parsing dense tables, navigating scanned PDFs, and retrieving facts across decades of documents. Even strong agents reach only ~45% accuracy, showing how far the field has to go. The benchmark is now open to the community, and the Databricks Grounded Reasoning Cup in Spring 2026 will challenge teams to push these capabilities forward. https://t.co/LaZdRSvdeK
Databricks is acquiring Quotient AI to strengthen the agent evaluation and reinforcement learning capabilities in Genie, Genie Code, and Agent Bricks so customers get more reliable AI agents in production. Databricks already provides powerful tools for evaluating and improving AI agents. With Quotient, we're strengthening these capabilities across our platform with a continuous evaluation and improvement layer that monitors agent behavior in production, catches issues like hallucinations and broken reasoning before users do, and uses those signals to continuously improve performance over time. We're excited to welcome the Quotient AI team to Databricks as we continue building the most reliable platform for developing, deploying, and improving agentic systems at scale! https://t.co/0hBSuwKcnk
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Databricks is acquiring Quotient AI to strengthen the agent evaluation and reinforcement learning capabilities in Genie, Genie Code, and Agent Bricks so customers get more reliable AI agents in production. Databricks already provides powerful tools for evaluating and improving AI agents. With Quotient, we're strengthening these capabilities across our platform with a continuous evaluation and improvement layer that monitors agent behavior in production, catches issues like hallucinations and broken reasoning before users do, and uses those signals to continuously improve performance over time. We're excited to welcome the Quotient AI team to Databricks as we continue building the most reliable platform for developing, deploying, and improving agentic systems at scale! https://t.co/0hBSuwKcnk

Databricks (@databricks) X Stats & Analytics

Databricks (@databricks) has 91.5K X followers with a 0.71% engagement rate over the past 12 months. Across 728 posts, Databricks received 33.4K total likes and 4.93M impressions, averaging 45.9 likes per post. This page tracks Databricks's performance metrics, top content, and engagement trends — updated daily.

Databricks (@databricks) X Analytics FAQ

How many X (Twitter) followers does Databricks have?+
Databricks (@databricks) has 91.5K X (Twitter) followers as of June 2026.
What is Databricks's X (Twitter) engagement rate?+
Databricks's X (Twitter) engagement rate is 0.71% over the last 12 months, based on 728 posts.
How many likes does Databricks get on X (Twitter)?+
Databricks received 33.4K total likes across 728 posts in the last 12 months, averaging 45.9 likes per post.
How many X (Twitter) impressions does Databricks get?+
Databricks's X (Twitter) content generated 4.93M total impressions over the last 12 months.