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Multi-year partnership will help 10,000+ customers securely build and deploy AI agents with Claude over their enterprise data SAN FRANCISCO, March 26, 2025 /PRNewswire/ -- Databricks, the Data and AI company, and Anthropic, an AI safety and research company, today announced a strategic, five-year partnership to offer Anthropic models and services natively through the Databricks Data Intelligence Platform. Combined with Databricks Mosaic AI, the landmark deal brings Anthropic's world-class Claude models directly to over 10,000 companies, alongside their business-critical, proprietary data. As a result, customers can build and deploy AI agents that reason over their own data. Anthropic's newest frontier model, Claude 3.7 Sonnet — the first hybrid reasoning model on the market and the industry leader for coding — is now available via Databricks on AWS, Azure and Google Cloud Platform. Enterprises want to increase returns on their AI investments. Yet, many struggle to build, deploy and evaluate AI agents that can reason over their enterprise data and meet production-level requirements for accuracy, security and access control. Databricks and Anthropic are helping to solve this challenge. Databricks Mosaic AI provides the tools to build domain-specific AI agents on organizations' unique data that deliver accurate results with end-to-end governance across the entire data and AI lifecycle, while Anthropic's Claude models optimize for real-world tasks that customers find most useful. Together, Databricks and Anthropic provide best-in-class solutions for the development, evaluation, deployment and governance of agentic applications. "As demand for data intelligence grows, our partnership with Anthropic allows enterprises to unlock the full potential of their data through AI," said Ali Ghodsi, Co-founder and CEO of Databricks. "We are bringing the power of Anthropic models directly to the Data Intelligence Platform—securely, efficiently, and at scale—enabling businesses to build domain-specific AI agents tailored to their unique needs. This is the future of enterprise AI." "At Anthropic, we're watching AI transform businesses right now - not as some future promise," said Dario Amodei, CEO and Co-founder at Anthropic. "This year, we'll see remarkable advances in AI agents capable of working independently on complex tasks, and with Claude now available on Databricks, customers can build even more powerful data-driven agents to stay ahead in this new era of AI." The Databricks Data Intelligence Platform democratizes access to data and AI, making it easier for organizations to harness the power of their data for analytics, machine learning, and AI applications. The platform is built on a foundation of unified data and governance that helps customers more easily develop agents with domain knowledge drawn from the entirety of their enterprise. Customers use the Data Intelligence Platform to find and treat diseases and cancer earlier, identify new ways to combat climate change, detect financial fraud, develop pharmaceuticals faster, reduce time to mental health intervention, decrease local financial inequality and much more. Key Partnership Benefits Build domain-specific agents on enterprise data: Anthropic Claude provides advanced reasoning, planning and problem-solving capabilities, helping customers build and deploy domain-specific AI agents that can handle large, diverse data sets with a large context window to drive better customization. Databricks and Claude can also support advanced reasoning use cases with complex multi-step workflows. For example, agents in the healthcare field could streamline the patient onboarding process for clinical trials. In retail, agents could analyze sales data alongside seasonal patterns and inventory levels to recommend localized operational adjustments that optimize staffing, promotions and store layouts to maximize revenue. Integrated natively with the Data Intelligence Platform: Available via SQL query and model endpoint, Claude models seamlessly integrate into the Databricks Data Intelligence Platform, meaning organizations do not need to replicate data manually, reducing costs and creating a more seamless experience. Additionally, enterprises can easily customize Claude models with retrieval augmented generation (RAG) by automatically generating vector indexes or fine-tuning models with enterprise data. Unified governance and responsible AI development: The partnership combines Anthropic's industry-leading safety research and constitutional AI approach with Databricks' Unity Catalog, the only unified and open governance solution for data and AI. Customers gain unparalleled end-to-end governance across their data and AI assets, and can automatically enforce proper access controls, set rate limits to manage costs and track lineage throughout the entire AI workflow. Enterprises can also implement safety guardrails, monitor for potential misuse and ensure their AI systems operate within defined ethical boundaries—all while maintaining the performance advantages of frontier models. "At Block, we emphasize practical, responsible and secure applications of AI," said Jackie Brosamer, VP of Data and AI Platform Engineering at Block. "Through our strategic partnership with Databricks, we're able to leverage the newest and most advanced models, including Anthropic's Claude, both to support the development and serve as the underlying engine powering our internal deployment of codename goose, our open-source AI agent. This federated approach to deploying models allows us to scale AI capabilities flexibly and seamlessly while maintaining security and user control, ultimately fostering greater efficiency and innovation across our teams." To learn more about how Databricks and Anthropic are helping enterprise organizations securely build and deploy AI agents over their enterprise data, sign up for the upcoming webinar with Databricks Co-founder and CEO Ali Ghodsi and Anthropic Co-founder and CEO Dario Amodei. About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on X, LinkedIn and Facebook. Contact: Press@databricks.com
Partnership combines Palantir's Artificial Intelligence Platform (AIP) and Databricks' Data Intelligence Platform to accelerate the production of AI applications and reduce TCO SAN FRANCISCO, March 13, 2025 /PRNewswire/ -- Databricks, the Data and AI company, and Palantir Technologies Inc. (NASDAQ: PLTR), the world's leading provider of enterprise operating systems, today announced a strategic product partnership that combines Palantir's world-class AI operating system and Databricks' leading platform for AI, data warehousing, and data engineering. The partnership will provide an open and scalable data architecture that combines Palantir's powerful Ontology System with Databricks' processing scale and industry-leading data and AI platform. With battle-tested improvements for joint customers in the field, Palantir and Databricks are delivering real-time, AI-powered autonomous workflows to customers through the integration of the Databricks Data Intelligence Platform and Palantir AIP. Through the combination of Unity Catalog through Delta Sharing and Palantir's multimodal security system, joint customers will be able to unlock the power of GenAI, machine learning, and data warehousing within a secure, unified and scalable environment. Customers want to maximize the value of their data by delivering AI-powered business processes without massive costs. This partnership lowers the technical and operational barriers to leveraging GenAI and increases customer value by efficiently deploying autonomous workflows into production. Through joint engineering, customers can consistently govern and secure their entire data estate with a combination of Databricks' Unity Catalog and Palantir's military-grade security so enterprises can build on a trusted foundation while maintaining efficiency and keeping TCO low. The integration of Databricks and Palantir is already serving a range of mission-critical outcomes for customers across both the public and private sectors – including the Department of Defense, the Department of the Treasury, the Department of Health and Human Services, bp, and others. "Databricks and Palantir customers in the public and private sectors were already looking for ways to integrate the two technologies to optimize performance and eliminate redundant costs," said Rory Patterson, Chairman of the Board of Databricks Federal. Over the past four months, we have been working with joint customers who have been amazed at how our two technologies seamlessly integrate into a unified, open, and scalable data architecture through the combination of Unity Catalog through Delta Sharing with the Palantir system. Combining Palantir's fast delivery of business value with Databricks' leading Data Intelligence Platform will deliver 'the best of both worlds' to our joint customers." "Operational integration of Palantir and Databricks reduces costs and complexity for our customers while providing a foundation to accelerate their operations into the age of AI," said Ted Mabrey, Palantir's Global Head of Commercial. "Palantir and Databricks are aligned to deliver on our customers' mission-critical objectives, and this partnership has already proven to accelerate those outcomes. The 'best of both worlds' technical approach means the best outcomes for our mutual customers." "A robust data foundation is key to delivering bp's reset strategy and our long-term competitiveness," said Emeka Emembolu, EVP Technology at bp. "Palantir and Databricks are vital partners for the next phase of our digital transformation. By building on the work we are doing together, we will be empowering teams across bp, maximising value of our data and accelerating AI adoption." About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on X, LinkedIn and Facebook. About PalantirFoundational software of tomorrow. Delivered today. Additional information is available at https://www.palantir.com. Contact:Press@databricks.commedia@palantir.com
Hires industry veteran Mike Daniels to lead public sector practice amid rapidly growing demand for data intelligence SAN FRANCISCO, Feb. 27, 2025 /PRNewswire/ -- Amid the growing momentum of its Public Sector business, Databricks, the Data and AI company, announced today that it has received Federal Risk and Authorization Management Program (FedRAMP®) High authorization from the FedRAMP Program Management Office (PMO) for its Data Intelligence Platform on Amazon Web Services (AWS) GovCloud. This authorization builds on the company's support for Department of Defense (DoD) Impact Level 5 (IL5) Provisional Authorization (PA) and Azure Databricks' FedRAMP High and IL5 authorizations, demonstrating a continued commitment to meeting the federal government's requirements for handling highly sensitive Controlled Unclassified Information (CUI). In addition to Databricks' investments to make its commercial products FedRAMP authorized, the data intelligence leader strengthened its leadership team, hiring Mike Daniels as Vice President and General Manager of Public Sector. Public sector organizations have the opportunity to positively impact the lives of their citizens with data. Yet, these organizations face significant challenges because of the lack of modern commercial cloud technology available to them. This often results in bespoke software development or the use of old technology that isn't capable of unlocking the value of their data or leveraging AI. The Databricks Data Intelligence Platform helps more than 400 public sector and related organizations, including 80% of the executive departments of the U.S. federal government, harness the power of their data for analytics, machine learning and AI applications. Built on an open source foundation, the platform enables organizations to drive innovation to increase revenue, lower costs, and reduce risk. Public sector customers use the Data Intelligence Platform to improve national security, streamline the path to citizenship, protect against fraud and waste and optimize government operations. FedRAMP High Authorization on AWS GovCloudBy achieving FedRAMP High authorization on AWS GovCloud, Databricks enables government agencies and organizations that work with the U.S. government to accelerate innovation while minimizing risk when working with highly sensitive private and public sector data. Now, these agencies have access to commercially available technology, including the ability to leverage the latest innovations in agentic AI, while complying with the privacy, security, and related controls required by the U.S. government. "Working with public sector organizations for more than a decade, we know how critical it is for global governments to modernize in order to complete their mission. Data is a critical part of decision-making in the government and Databricks is enabling government agencies to understand their organization's data, identify waste, pass audits, and gain efficiencies — all while remaining secure and compliant," said Rory Patterson, Chairman of the Board of Databricks Federal. "We've completed countless transformative public sector projects, modernizing these agencies with our Data Intelligence Platform, but we know we can still do more to help agencies transform into the organizations of the future. With a significant increase in demand over the last two years for our commercial platform in the Public Sector, I am incredibly excited Mike is joining us to lead its continued growth and help us unblock more public sector programs and showcase what is possible when the government has access to modern commercial software." Mike Daniels Joins as VP and GM of Public SectorWith more than 30 years of industry leadership, Mike Daniels will lead Databricks' growing Public Sector practice. He will be responsible for ensuring public sector customers successfully adopt the Databricks Data Intelligence Platform to achieve their organizations' missions. He will also help scale Databricks' Public Sector go-to-market operations. Prior to Databricks, Daniels held several public sector sales leadership positions, including roles at Google, Salesforce, Oracle, and UiPath. "Every public sector organization wants to leverage data and AI to fuel efficiency and innovation and drive their missions forward. We want to make that as easy, collaborative and cost-effective as possible for them while upholding the security standards and protocols these agencies require," said Daniels. "Today, building domain-specific AI applications on your trusted data — what we call data intelligence — is an imperative. I am thrilled to join Databricks to help more public sector agencies drive value for their organizations with the most innovative data and AI platform on the market." Community and Department of Defense Offerings on AWS GovCloudTo help more public sector organizations access the Databricks Data Intelligence Platform in compliance with FedRAMP High, DoD IL5, and International Traffic in Arms Regulations (ITAR), the Databricks AWS GovCloud DoD and Databricks AWS GovCloud Community offerings are now generally available. The Databricks AWS GovCloud DoD offering is available exclusively for the DoD, while the Government Community offering is available for non-DoD government agencies and contractors. Join Databricks and its government customers and partners on Thursday, March 27, at the third annual Databricks Public Sector Forum, a full-day program for leaders to learn more about Databricks' solutions for the Public Sector and how data intelligence can enable the mission of government. To learn more about Databricks' federal government customers, visit the Data Intelligence Platform for Public Sector page. Find more information on security and FedRAMP compliance of Databricks services in the Databricks Security and Trust Center. About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on X, LinkedIn and Facebook. Contact: Press@databricks.com
歷史性合作重塑企業數據管理 全力解放Agentic AI潛能 香港2025年2月14日 /美通社/ -- SAP正式發布SAP Business Data Cloud，這一項創新解決方案可整合企業內所有SAP及第三方數據，打造值得信賴的數據基礎，助力企業作出更具影響力的決策，提升AI成果的可靠性。該解決方案融合企業的關鍵業務數據，並結合數據工程與業務分析能力，引領企業邁向下一階段的創新和洞察。 SAP與Databricks的這一歷里程碑式合作著企業數據管理進入全新時代。作為各自領域的領導者，雙方攜手重塑應用與數據平台的協作方式。這一全新解決方案無縫集成Databricks在數據工程、機器學習和AI方面的技術。 SAP CEO柯睿安（Christian Klein）表示：「SAP Business Data Cloud充分釋放企業數據在Business AI中的價值。這一突破性解決方案，結合SAP在端到端關鍵業務流程及語義豐富的數據方面的獨特專長，以及Databricks全球領先的數據工程能力，幫助企業以前所未有的方式探索數據的潛能。」 Databricks聯合創始人兼CEO Ali Ghodsi表示：「所有企業都希望從數據中獲取更大價值， 並提升AI投資回報。通過與SAP合作，我們助力企業實現跨格式、跨平台的數據整合，在Databricks Data Intelligence Platform上進行統一管理、分析，並構建特定領域的AI應用。」 引領數據產品經濟 SAP Business Data Cloud更將幫助SAP促進數據產品經濟的蓬勃發展。該解決方案提供全面托管的SAP數據產品，覆蓋企業所有業務流程——從SAP S/4HANA和SAP Ariba中的財務、採購和供應鏈數據，到SAP SuccessFactors中的學習和人才數據。這些數據產品保留原始業務語境和語義，無需繁瑣的數據提取過程，即可提供高質量數據。例如，CFO若想評估通脹上升對盈利能力的影響，SAP Business Data Cloud可將消費者價格指數等實時外部數據與總賬本或成本中心等財務數據產品結合，形成全面的財務圖表。 SAP Business Data Cloud還將推出Insight Apps，結合數據產品與AI模型，並接入實時數據，提供跨業務線的高級分析與規劃，涵蓋核心企業分析、財務及人力資源等領域。 全球化學與消費品企業Henkel（漢高）的企業副總裁、及歐洲、亞太、IMEA地區和業務技術負責人Markus Hartmann表示：「SAP Business Data Cloud將幫助我們充分探索數據價值，推動業務創新。其語義豐富的數據產品以及與Databricks的深度集成，將增強我們的數據能力，使我們能夠構建業務場景並利用AI洞察，打造可持續的數據生態體系。」 充分釋放AI agents潛能 SAP Business Data Cloud將進一步提升SAP的生成式AI智能副駕Joule，加速跨職能流程，並提升AI agents的業務決策能力。依托行業領先的企業數據集，以及SAP Knowledge Graph解決方案提供的業務友善的數據模型，Joule agents能夠深刻理解端到端業務流程，跨職能協作，解決複雜業務挑戰，這些功能是其他智能體構建技術無法開箱即用實現的。 為進一步推動AI創新，SAP今日同步推出一系列即用型Joule agents，覆蓋財務、服務、銷售等多個領域，並將在SAP Business Suite中進一步擴展。例如，在財務領域，agents可協同處理索賠，加快審批，提升現金流；Joule的銷售agents則可加速多步驟業務流程，快速解決爭議和響應客戶訴求。 此外，SAP還發布了一項強大的全新的Agent Builder功能，使企業能夠在SAP現有的即用型Joule agents應用庫的基礎上，構建和部署自定義AI agents。SAP深厚的業務流程專長已融入引導式工作流，確保用戶能夠基於最相關的數據和業務語境，打造滿足自身需求的AI agents。 關於SAP 作為企業應用和商業AI的全球領導者，SAP位於商業和技術的交匯點。50多年來，企業一直信賴SAP通過整合財務、採購、人力資源、供應鏈和客戶體驗等核心業務營運，來發揮其最佳表現。如需瞭解更多SAP資訊，請瀏覽https://www.sap.com/hk 。
SAP正式發佈SAP Business Data Cloud，這項創新解決方案可整合企業內所有SAP及第三方數據，打造值得信賴的數據基礎，助力企業做出更具影響力的決策，提升AI結果的可靠性。該解決方案融合企業關鍵業務數據，並結合數據工程與業務分析能力，引領企業邁向下一階段的創新和洞察。 SAP與Databricks的這一里程碑式合作標誌著企業數據管理進入全新時代。作為各自領域的領導者，雙方攜手重塑應用與數據平台的協作方式。這一全新解決方案，將無縫整合Databricks在數據工程、機器學習和AI方面的技術。 SAP CEO 柯睿安（Christian Klein） 表示：「SAP Business Data Cloud充分釋放企業數據在Business AI中的價值。這項突破性的解決方案，結合SAP在端到端關鍵業務流程及語義豐富的數據方面的獨特專長，以及Databricks全球領先的數據工程能力，幫助企業以前所未有的方式挖掘數據潛能。」 Databricks聯合創始人兼CEO Ali Ghodsi表示：「所有企業都希望從數據中獲取更大價值，並提升AI投資回報。透過與SAP合作，我們助力企業實現跨格式、跨平台的數據整合，在Databricks Data Intelligence Platform上進行統一治理、分析，並構建特定領域的AI應用。」 引領數據產品經濟 SAP Business Data Cloud還將幫助SAP促進數據產品經濟的蓬勃發展。該解決方案提供全面託管的SAP數據產品，覆蓋企業所有業務流程——從SAP S/4HANA和SAP Ariba中的財務、採購和供應鏈數據，到SAP SuccessFactors中的學習和人才數據。這些數據產品保留原始業務語境和語義，無需繁瑣的數據提取過程，即可提供高品質的數據。例如，CFO若想評估通膨上升對盈利能力的影響，SAP Business Data Cloud可將消費者價格指數等即時的外部數據與總賬本或成本中心等財務數據產品結合，形成全面的財務狀況展現。 SAP Business Data Cloud還將推出Insight Apps，結合數據產品與AI模型，並接入即時數據，提供跨業務線的高級分析與規劃，涵蓋核心企業分析、財務及人力資源等領域。 全球化學與消費品企業Henkel（漢高）的企業副總裁、及歐洲、亞太、IMEA地區和業務技術負責人Markus Hartmann表示：「SAP Business Data Cloud將幫助我們充分挖掘數據價值，推動業務創新。其語義豐富的數據產品以及與Databricks的深度整合，將增強我們的數據能力，使我們能夠構建業務場景並利用AI洞察，打造可持續的數據生態體系。」 充分釋放AI agents潛能 SAP Business Data Cloud將進一步提升SAP的生成式AI智慧助理Joule，加速跨職能流程，並提升AI agents的業務決策能力。透過產業領先的企業數據集，以及SAP Knowledge Graph解決方案提供的業務友好的數據模型，Joule agents能夠深刻理解端到端業務流程，跨職能協作，以解決複雜的業務挑戰，這些功能是其他智能體建構技術（agent builder technology）無法開箱即用實現的。 為進一步推動AI創新，SAP今日同步推出一系列即用型Joule agents，覆蓋財務、服務、銷售等多個領域，並將在SAP Business Suite中進一步擴展。例如，在財務領域，agents可協同處理索賠、加快審批、提升現金流；Joule 的銷售agents則可加速多步驟業務流程，快速解決爭議和回應客戶訴求。 此外，SAP還發佈了一項強大的全新的Agent Builder功能，使企業能夠在SAP現有的、即用型Joule agents應用庫的基礎上，建構和部署自定義AI agents。SAP深厚的業務流程專長已融入引導式工作流程，確保用戶能夠基於最相關的數據和業務情境，打造滿足自身需求的AI agents。 關於 SAP 作為企業應用軟體和商業 AI 的全球領導者，SAP 同時掌握商業和技術兩大優勢。50多年來，企業信賴 SAP 透過整合財務、採購、人力資源、供應鏈和客戶體驗等核心業務營運，協助企業發揮其最佳表現。如欲了解更多資訊，請造訪：http://www.sap.com/taiwan/。
Together, Databricks and the BladeBridge team will support enterprise migrations to Databricks SQL, which has surpassed a $600 million revenue run rate SAN FRANCISCO, Feb. 5, 2025 /PRNewswire/ -- Databricks, the Data and AI company, today announced that it has welcomed the team behind BladeBridge, a leading provider of AI-powered enterprise data warehouse migration solutions, to Databricks. Together, Databricks and BladeBridge will help organizations streamline the code assessment and conversion process vital to data warehouse migrations to Databricks SQL from Snowflake, Teradata and other sources with a proven, LLM-driven approach. Ultimately, this enhanced migration process will help customers quickly and seamlessly transition to the Databricks Data Intelligence Platform. Organizations are increasingly looking to modernize their siloed, legacy data warehouses to Databricks SQL, Databricks' intelligent data warehouse. This shift allows them to capitalize on Databricks SQL's industry-leading price-performance, efficiency and AI innovations. Powered by AI, Databricks SQL auto-optimizes workloads to improve efficiency and performance and delivers intelligent experiences that help anyone gain insights from their data, with no SQL or technical expertise required. In the past year, Databricks SQL revenue grew more than 150%, surpassing $600 million run rate. BladeBridge + DatabricksBladeBridge has become one of the most advanced and popular automation solutions for migrating from existing data warehouses, including Snowflake, Redshift, and Teradata, to Databricks SQL. Now, organizations migrating to Databricks will gain access to BladeBridge's proven AI-driven solution to automate code analysis and conversion across more than 20 enterprise data warehouses and ETL tools, significantly reducing manual effort and ensuring consistent, high-quality code output. This transaction supports Databricks' strategy to help enterprises quickly achieve data intelligence across their entire data estate. A key technology partner to system integrators like Accenture, Capgemini, Celebal Tech, Ness Digital and Tredence, BladeBridge provides customers with clear insight into the scope of conversion, LLM-powered code refactoring, and easy validation of migrated systems. To date, BladeBridge has successfully supported hundreds of customers in their Databricks SQL migration journeys. "Databricks SQL is the fastest-growing data warehouse on the market. Over ten thousand organizations have chosen Databricks SQL thanks to its price performance and AI innovations. As more and more companies choose Databricks as the foundation for an open, flexible data architecture, we want to make it easier than ever to move from legacy data warehouses to the Data Intelligence Platform," said Ali Ghodsi, Co-founder and CEO of Databricks. "By joining forces with the BladeBridge team, we can help every organization accelerate their move to Databricks with significantly lower migration cost and effort." "At BladeBridge, we set out to solve frustrating challenges for companies looking to modernize their data stack, and today we've helped hundreds of organizations successfully migrate to cloud data platforms," said Simon Eligulashvili, Co-founder and Executive Vice President of BladeBridge. "We are thrilled to join the Databricks team to continue our mission — to help companies reach their data modernization goals — faster and at a far greater scale." "As a trusted data engineering specialist, we understand that meeting customers' aggressive project timelines is a key success metric," said Ranjit Tinaikar, CEO at Ness Digital. "Over the years, we have built a strong partnership with BladeBridge, collaborating on over a hundred enterprise data warehouse migrations. We look forward to deepening this relationship with Databricks as a strategic partner and delivering many more successful projects in the future." This announcement follows Databricks' recent $15 billion financing, which values the data intelligence leader at $62 billion. The company expects to cross $3 billion revenue run rate and be free cash flow positive in the fourth quarter ending January 31, 2025. About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on X, LinkedIn and Facebook. Contact: Press@databricks.com
Databricks
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