Now in GA, Lakehouse Federation is introducing new capabilities that make it simpler for organizations to expose, query, and govern siloed data systems as an extension of their lakehouse. With these new capabilities: 👉 Build a unified view of your data estate 👉 Query and combine all data efficiently with a single engine 👉 Safeguard data across data sources https://dbricks.co/4fvPhbq
About us
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and 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. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants 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, and Artificial Intelligence
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-to-Open (D2O) Delta Sharing revolutionizes the way enterprises share data across platforms, enabling interoperability with any system and supporting connectors like Python, Apache Spark™, Excel, Tableau, and PowerBI. See how Atlassian, Nasdaq, and Oracle are leveraging D2O Delta Sharing: https://dbricks.co/4dhekgQ
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LakeFlow Connect is now in Public Preview for SQL Server, Salesforce, and Workday! These connectors provide a simple and efficient way to ingest data into the Data Intelligence Platform, allowing users to spend less time building complex ingestion pipelines and more time innovating. https://dbricks.co/3WKw6Dp
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At #DataAISummit, Matei Zaharia introduced Databricks Clean Rooms, which allows you to privately collaborate on arbitrary data and AI tasks (ML, SQL, Python, R, etc.) across clouds, platforms, and multiple parties. Explore Databricks Clean Rooms and watch Darshana Sivakumar's live demo now! 👇 https://bit.ly/3zJJU8n
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Over 250 customers showcased their latest data + AI innovation at #DataAISummit We were inspired by their journeys, use cases and leadership. See how real-world enterprises are leveraging GenAI https://dbricks.co/3WA5VQ0 #DSML #GenAI, #DataWarehousing, #DataGovernance, #DataCollaboration and more
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How the Communications, Media and Entertainment industries are enabling next-generation data + AI. Join us on August 8 to hear from industry leaders Fox Corporation, Second Dinner and Riot Games. Thank you to Amperity, a Databricks Marketplace partner and leader in Customer Data Platforms for sponsoring this special event. https://dbricks.co/3Sqe4nx
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Patronus AI recognized the need for automated LLM evaluation to instill confidence in enterprises deploying #GenAI models. ▶️ Enter Lynx, a hallucination detection model that can use complex reasoning to identify conflicting outputs. See how the team trained Lynx using LLM Foundry, Mosaic Composer, and the Mosaic Platform👇 https://dbricks.co/3y11unP
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What tools are organizations using to execute their GenAI strategy? The new edition of the State of Data + AI highlights trends in GenAI adoption, with a big focus on open source LLMs. This chart showcases the top GenAI Python Packages by use case. Get more findings here: https://dbricks.co/3zRrHWp
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Accurate forecasting is crucial for businesses, but it hinges on high-quality input data. Enter Databricks Lakehouse Monitoring, a unified solution to monitor data quality and model performance. Discover how Databricks Lakehouse Monitoring empowers you to ensure reliable forecasts by proactively detecting data drift and model degradation. https://dbricks.co/4d5Pgco
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“The Indiana Fever are currently undergoing one of the most exciting transformations in our organization's history, both on and off the court.” Jared Chavez, Sr. Data Engineer at Pacers Sports & Entertainment, shares how his team redefined data operations within the organization. Discover how the Databricks Data Intelligence Platform has been critical to their data transformation journey, helping them to democratize ML, reduce costs, and move projects from pipe dreams to real business initiatives. Thank you, Jared, for sharing your story and vision! https://dbricks.co/4cTUl85