X analytics
Mar 5, 2025 - Mar 5, 2026
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followers
87.3K
impressions
4.58M
likes
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posts
715
engagement
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emv
$99.9K
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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’re thrilled to announce a strategic product partnership with @PalantirTech! Together, we’ll help organizations maximize the value of their data by delivering AI-powered business processes. This partnership lowers the technical and operational barriers to leveraging GenAI and will increase customer value by enabling organizations to efficiently deploy autonomous workflows into production. Learn more about the Databricks Data Intelligence Platform and Palantir AIP integration: https://t.co/O5MWMsLprg
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We’re thrilled to announce a strategic product partnership with @PalantirTech! Together, we’ll help organizations maximize the value of their data by delivering AI-powered business processes. This partnership lowers the technical and operational barriers to leveraging GenAI and will increase customer value by enabling organizations to efficiently deploy autonomous workflows into production. Learn more about the Databricks Data Intelligence Platform and Palantir AIP integration: https://t.co/O5MWMsLprg
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
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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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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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
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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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
#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
#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
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
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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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

@AIatMeta We’re thrilled to partner with Meta to bring Llama 4 on Databricks. Thousands of enterprises already use Meta Llama models on the Databricks Data Intelligence Platform to power AI applications, agents and workflows – and Llama 4 raises the bar for open foundation models!

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@AIatMeta We’re thrilled to partner with Meta to bring Llama 4 on Databricks. Thousands of enterprises already use Meta Llama models on the Databricks Data Intelligence Platform to power AI applications, agents and workflows – and Llama 4 raises the bar for open foundation models!
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
We're excited to share that @TectonAI will soon join Databricks, providing enterprises with fast, reliable, real-time data for deploying AI agents. Tecton’s technology helps enterprises leverage their mission-critical data to power AI agents for critical use cases. Bringing Tecton into Databricks will unite the best in online data serving with Databricks’ Agent Bricks, empowering customers to build, deploy and scale AI agents faster and more confidently than ever before. We're excited to see what you build. https://t.co/xeysUiSxiX
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We're excited to share that @TectonAI will soon join Databricks, providing enterprises with fast, reliable, real-time data for deploying AI agents. Tecton’s technology helps enterprises leverage their mission-critical data to power AI agents for critical use cases. Bringing Tecton into Databricks will unite the best in online data serving with Databricks’ Agent Bricks, empowering customers to build, deploy and scale AI agents faster and more confidently than ever before. We're excited to see what you build. https://t.co/xeysUiSxiX

Databricks (@databricks) X Stats & Analytics

Databricks (@databricks) has 87.3K X followers with a 0.61% engagement rate over the past 12 months. Across 715 posts, Databricks received 26.8K total likes and 4.58M impressions, averaging 37.5 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 87.3K X (Twitter) followers as of March 2026.
What is Databricks's X (Twitter) engagement rate?+
Databricks's X (Twitter) engagement rate is 0.61% over the last 12 months, based on 715 posts.
How many likes does Databricks get on X (Twitter)?+
Databricks received 26.8K total likes across 715 posts in the last 12 months, averaging 37.5 likes per post.
How many X (Twitter) impressions does Databricks get?+
Databricks's X (Twitter) content generated 4.58M total impressions over the last 12 months.