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followers
88.9K
impressions
4.93M
likes
31.0K
comments
1.31K
posts
773
engagement
0.656%
emv
$108K
Average per post
6.37K

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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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databricks
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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databricks
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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databricks
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
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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databricks
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
Announcing Agent Bricks: auto-optimize agents for your domain tasks. Provide a high-level description of the agent’s task, and connect your enterprise data — Agent Bricks handles the rest. Agent Bricks builds out an agent system that automatically optimizes against your goals and generates domain-specific synthetic datasets, accelerating agent development without relying on manual labeling or external sources. https://t.co/RYkkdvA7HX
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databricks
Announcing Agent Bricks: auto-optimize agents for your domain tasks. Provide a high-level description of the agent’s task, and connect your enterprise data — Agent Bricks handles the rest. Agent Bricks builds out an agent system that automatically optimizes against your goals and generates domain-specific synthetic datasets, accelerating agent development without relying on manual labeling or external sources. https://t.co/RYkkdvA7HX
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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databricks
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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databricks
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
We’re excited to announce that we have agreed to acquire @neondatabase, a developer-first serverless Postgres company. The Neon team engineered a new database architecture that offers speed, elastic scaling, and branching and forking. The capabilities that make Neon great for developers are also great for AI agents. Together, we'll deliver an open, serverless database foundation for developers and AI agents. https://t.co/kUe2lCBe2D
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We’re excited to announce that we have agreed to acquire @neondatabase, a developer-first serverless Postgres company. The Neon team engineered a new database architecture that offers speed, elastic scaling, and branching and forking. The capabilities that make Neon great for developers are also great for AI agents. Together, we'll deliver an open, serverless database foundation for developers and AI agents. https://t.co/kUe2lCBe2D
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 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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databricks
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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databricks
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
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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databricks
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
#DataAISummit starts tomorrow! 20,000 attendees, 700+ sessions, keynotes, meetups, and training—all at the world’s largest data, analytics, and AI conference It’s not too late to join us. Register to attend in San Francisco or virtually: https://t.co/5cQ9G6wNd9
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#DataAISummit starts tomorrow! 20,000 attendees, 700+ sessions, keynotes, meetups, and training—all at the world’s largest data, analytics, and AI conference It’s not too late to join us. Register to attend in San Francisco or virtually: https://t.co/5cQ9G6wNd9
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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databricks
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
#DataAISummit starts NOW. Thousands of data engineers, data scientists and data experts are gathered in San Francisco this week to explore the convergence of data and AI. We'll be sharing highlights here. Couldn't join us in person? Register for a virtual pass 🎟: https://t.co/S8RFHx4WSv
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#DataAISummit starts NOW. Thousands of data engineers, data scientists and data experts are gathered in San Francisco this week to explore the convergence of data and AI. We'll be sharing highlights here. Couldn't join us in person? Register for a virtual pass 🎟: https://t.co/S8RFHx4WSv
Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.
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Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.
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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databricks
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

Databricks (@databricks) X Stats & Analytics

Databricks (@databricks) has 88.9K X followers with a 0.66% engagement rate over the past 12 months. Across 773 posts, Databricks received 31.0K total likes and 4.93M impressions, averaging 40.1 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 88.9K X (Twitter) followers as of April 2026.
What is Databricks's X (Twitter) engagement rate?+
Databricks's X (Twitter) engagement rate is 0.66% over the last 12 months, based on 773 posts.
How many likes does Databricks get on X (Twitter)?+
Databricks received 31.0K total likes across 773 posts in the last 12 months, averaging 40.1 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.