Databricks was named a Leader in the 2024 Gartner® Magic Quadrant™ for Data Science and ML Platforms & positioned highest in Ability to Execute out of all evaluated vendors! At Databricks, customer obsession and innovation continues to fuel our product roadmap. We believe that our placement in the Gartner Magic Quadrant stems from our focus on helping our customers succeed with GenAI and traditional DS/ML through a unified approach. Learn more about our placement here: https://bit.ly/3XN26HV
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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Databricks has been named to the 2024 Fortune Best Workplaces for Millennials list! We’re proud to have created an innovative and inclusive workplace for the next generation of leaders. Sense of purpose ✔️ Impact ✔️ Support ✔️ See what employees are saying: https://dbricks.co/3zJZvol
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In the State of Data + AI, we analyzed the usage of Meta Llama and Mistral, the two biggest players of open source LLMs. Key findings: - 77% choose models with 13B parameters or fewer - 76% of companies using LLMs choose open source, often alongside proprietary models. Find out how this translates to company priorities in our new report: https://bit.ly/4buAgDH
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At #DataAISummit, Shant Hovsepian, CTO of Data Warehousing at Databricks announced Delta 4.0, the biggest Delta Lake release to date! Included in this release is Liquid Clustering, a feature that helps solve the common challenge of partitioning. Watch now to get the details 👇 https://dbricks.co/3RTqFPU
Announcing Delta Lake 4.0 with Liquid Clustering. Presented by Shant Hovsepian at Data + AI Summit
https://www.youtube.com/
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Now GA: Serverless compute for Databricks Notebooks, Workflows, and Delta Live Tables! You write the code, and we provide a fully managed compute infrastructure with fast workload startup, high reliability and simple operation. https://dbricks.co/4bPEVjz
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To successfully pivot in the age of #AI, KPMG needed to move away from its legacy Hadoop infrastructure. By implementing solutions such as Unity Catalog and Delta Sharing, they were able to break down data silos and increase productivity and time to market. Now, KPMG boasts a strong base of over 850 active power users who have successfully utilized Databricks👇 https://bit.ly/3S2MMmZ
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We are thrilled that Databricks has earned a spot on the Most Loved Workplaces® for LGBTQ+ 2024 list! This recognition reflects our commitment to creating an inclusive culture where all Bricksters are empowered to bring their authentic selves to work. Learn more about our communities at Databricks: https://bit.ly/3RRg5ZE
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Meet the minds behind DBRX! Our Chief AI Scientist Jonathan Frankle joined the #NextGenLakehouse crew to discuss how we built DBRX for $10M (and why we built our own LLM), ways to evaluate models after training, and more. Watch the full conversation with Databricks Lead Solutions Architect Quentin Ambard and Senior Specialist Solution Architect Maria Zervou. https://bit.ly/3RUCt4x
The secret sauce behind DBRX with Databricks Chief AI Scientist Jonathan Frankle
https://www.youtube.com/
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#GenAI is all about the long game, and executives must shift the company’s AI mindset from short-term wins to long-term business transformation. Our CIO Naveen Zutshi shares why improving data infrastructure, leveraging RAG, and prioritizing accuracy in the development and use of AI can help CIOs navigate this era of GenAI momentum: https://bit.ly/4cTM6Ix
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Hear from Databricks customers about their experiences using the Data Intelligence Platform. From data warehousing to #GenAI, our customers are achieving big goals with an open and unified foundation for all their data and governance. Don't just take our word for it - read the reviews on G2! https://bit.ly/3S2f80H