Today, some of the largest companies in the world use Databricks to find and treat diseases and cancer earlier, detect financial fraud, reduce time to mental health intervention, decrease local financial inequality, and much more. Our CEO Ali Ghodsi spoke with The Wall Street Journal about the company's beginnings, and how it became one of the fastest growing companies in tech: https://dbricks.co/4gjLRJ5
About us
Databricks 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. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Website
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https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops
Products
The Databricks Data Intelligence Platform
Data Science & Machine Learning Platforms
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.
Locations
Employees at Databricks
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Ryan Donahue
VP Product Design at Databricks
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Alfred Chu
VC
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Ashu Garg
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale…
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Michael J. Franklin
Professor of Computer Science, University of Chicago
Updates
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Excited to announce Databricks Ventures’ investment in Twelve Labs, a pioneer in AI and video understanding! This partnership brings powerful video analysis capabilities to the Databricks Data Intelligence Platform. Twelve Labs’ cutting-edge models make video data searchable and understandable, opening up a world of possibilities for our customers: - Search video libraries using natural language - Analyze video content based on text or images - Effortlessly integrate video understanding into your data workflows https://dbricks.co/4ggtzbt
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Join Economist Impact and CIOs from global leaders for a fireside chat on the latest enterprise AI strategies. The discussion will also include perspectives and insights from a recent global survey of 1,100 executives and technologists and interviews with 28 CIOs. Topics include enterprise AI use cases and trends, paths to production, and what’s top of mind for data-driven leaders. Register to secure your spot! https://dbricks.co/49zhvj8
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How are CDO strategies changing to keep pace with AI adoption and shifting priorities within organizations? Hear what’s top of mind across industries: - Getting the most from data + AI while being agile - Taking measured but bold approaches to GenAI - Balancing cost, explainability, and portability when scaling AI solutions Databricks Field CTOs Robin Satura and Dael Williamson join other AI-driven leaders in discussing the evolving role, priorities, and success metrics for the CDO. https://lnkd.in/gk4HU8Yq
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AI agents are on the rise. Building a secure and compliant foundation is essential. “Governance, access control, and data quality actually become more important in the age of AI agents,” says Naveen Rao, VP of AI at Databricks. “The tools to determine what services have access to what data become the method for ensuring that AI systems behave in compliance with the rules of data privacy.” Ensuring secure, compliant, and quality data access is essential as AI agents take on a larger role in your data ecosystem. VentureBeat on architecting a data stack for AI agents: https://dbricks.co/3Z6nqIH
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Achieve up to 80% cost savings with Meta Llama 3.3 on Databricks! With Llama 3.3 and Mosaic AI’s new efficiency optimizations and pricing updates, building affordable, high-quality AI agent systems is now easier than ever. https://dbricks.co/4fj6Z0L
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Some of our favorite highlights from #AWSreInvent: - Joint sessions with Mastercard on unified AI governance & building production-quality AI applications - Highlighted in multiple keynotes as a pivotal partner driving unified data and AI strategies - Won four #AWSPartnerAwards for our innovative solutions that support diverse industries Thank you to everyone who joined us! See the full recap: https://dbricks.co/49C7pOp
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Introducing Hive Metastore and AWS Glue Federation in Unity Catalog. Seamlessly leverage Unity Catalog's advanced features without the overhead of migrating HMS or AWS Glue-managed tables. Benefits include: - Integrate existing catalogs without manually migrating metadata - Simplify data discovery of HMS and AWS Glue metadata - Comprehensive governance on top of the data stored in HMS and AWS Glue https://dbricks.co/49H5Pek
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🚢 Hapag-Lloyd, a global leader in shipping and container transport, boosted audit efficiency by 75% with a GenAI app built on Databricks. By leveraging Databricks Mosaic AI, Hapag-Lloyd built and deployed two prototypes that significantly reduced the time spent on summarizing insights. This transformation enables Hapag-Lloyd to provide more accurate and timely audit reports. Learn how they did it. https://dbricks.co/3Vy5nsI
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Announcing Databricks GenAI Partner Accelerators and RAG Proof of Concepts, solutions built on the Databricks Data Intelligence Platform to help customers deploy AI Agent Systems: - GenAI Accelerators: deploy production-quality ML and GenAI applications - RAG POCs: rapidly iterate and test your GenAI hypothesis in 4 weeks Thank you Accenture, Aimpoint Digital, Capgemini, Celebal Technologies, Computomic, Entrada, EPAM Systems, EY, Exponentia.ai, Infosys Topaz, Koantek, LatentView Analytics, Lovelytics, Slalom, Tredence Inc., Wipro, and zeb. https://dbricks.co/3DbBqbI