Excited to offer the AI at Meta Llama 3.1 series of models on Databricks! Databricks customers can use #MosaicAI to serve and fine-tune the Llama 3.1 models, connect them seamlessly to RAG and agentic systems, and more. Learn more: https://dbricks.co/3LyGo3p
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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With thousands of employees and hundreds of teams analyzing data, scaling data governance is a top priority. Learn how a four person engineering team transformed the largest Databricks workspace into a governed lakehouse in 10 months, using Unity Catalog: https://dbricks.co/3A4ZxY5
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For how long should you train your language model? How large should your model be? Research from Databricks Mosaic Research proposes a modified scaling law that quantifies the training-inference trade-off – producing models that are optimal over their total lifetime. https://dbricks.co/4cRvQbB
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AI demand is growing — and leaders across big tech are seeking new ways to buy-in. Databricks CEO Ali Ghodsi chatted with Kelly Evans at CNBC's The Exchange about prominent #GenAI trends, and ways enterprises are integrating it into their business. https://dbricks.co/3Yq0OTK
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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
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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