Databricks | LinkedIn (original) (raw)
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).
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
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
- Primary
160 Spear Street
13th Floor
San Francisco, CA 94105, US
Get directions - Fora 22 Berners Street
London, England W1T 3LP, GB
Get directions - Barbara Strozzilaan 350
2nd floor
Amsterdam, HN 1083, NL
Get directions - 11 W 42nd St
30th Floor
New York, NY 10036, US
Get directions - 120 Adelaide St W
Toronto, Ontario M5H, CA
Get directions - 109 North Bridge Road
Singapore, 179097, SG
Get directions - 2033 6th Ave
Suite 600
Seattle, WA 98121, US
Get directions - 100 W Evelyn Ave
Suite 210
Mountain View, California 94041, US
Get directions - 1660 International Drive
Suite 600
McLean, VA 22102, US
Get directions - 7300 Lone Star Dr
Plano, Texas 75024, US
Get directions - 500 108th Ave NE
Suite 1100
Bellevue, Washington 98004, US
Get directions - 1 Lincoln Street
Office 26-115
Boston, MA 02111, US
Get directions - 2120 University Ave
Suite 722
Berkeley, California 94704, US
Get directions - Techspace Köpenicker
Straße 40-41
Berlin, Germany 10179, DE
Get directions - Herzogspitalstraße 24
Munich, Bavaria 80331, DE
Get directions - 35-37, Rue Beaubourg
Paris, Île-de-France 75003, FR
Get directions - 1 Chome-4-5 Roppongi
Minato City, Tokyo 106-0032, JP
Get directions - 66 King Street
Sydney, NSW 2000, AU
Get directions - 222 Exhibition St
Melbourne, Victoria 3000, AU
Get directions - No. 78/9, Outer Ring Rd
Bengaluru, Karnataka 560103, IN
Get directions
Employees at Databricks
Updates
- Startups, are you using #GenAI to build innovative products and solve real-world customer problems? Want to get your product in front of Databricks, AWS, Andreessen Horowitz and IVP? Are you an entrepreneur or startup with a groundbreaking Generative AI use case built on Databricks? We're excited to invite you to the Databricks Generative AI Startup Challenge for early-stage startups. Participants have the chance to win over $1M in venture funding, exclusive resources, and other prizes. Expand your startup’s exposure, network and funding. https://dbricks.co/3XyvJuO
- We analyzed data from 10,000 global Databricks customers and found that vector database adoption grew 377% YoY. The takeaway: enterprise #GenAI is all about customizing LLMs with RAG. This is just one of many findings uncovered in the State of Data + AI. Read the full report to learn more about the latest #dataintelligence trends:https://dbricks.co/3zRrHWp
- Databricks now supports Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs! This addition marks a step forward in enabling more efficient and scalable data processing, machine learning, and AI workloads on the Databricks Data Intelligence Platform. See how to get started: https://dbricks.co/4gDFO2E
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766,257 followers
2d Edited
Prada Group is transforming the fashion world with data intelligence ✨ By harnessing the power of the Databricks Data Intelligence Platform, Prada has created a single source of truth for the entire company, which operates over 600 stores in 70 countries. With #UnityCatalog providing access to clean data and implementing ML and #GenAI algorithms, the Data Science team at Prada Group can now focus on: - Forecasting models - Personalization - Marketing optimization This innovative approach redefines how Prada Group connects with customers and enhances their experience. Hear more insights from Anna Codispoti, Head of Data Analytics: https://dbricks.co/3XMIFxE -
766,257 followers
3d Edited
We're excited to announce that AI Model Sharing is now GA within Delta Sharing and #DatabricksMarketplace, featuring 75+ AI models. We've collaborated with partners like AI21 Labs, Bitext and customers like Ripple to enhance model accessibility. Explore the business need for AI model sharing and discover use cases with AI21’s Jamba 1.5 Mini and Bitext verticalized models: https://dbricks.co/4gyxEZ8 - Explore the path to interoperability in this in-depth conversation with Michael Armbrust, the original creator of #DeltaLake, and Ryan Blue, an original creator of #ApacheIceberg. For many organizations, struggling with which table format to choose delays lakehouse adoption and ultimately harms their data + AI strategy. But there is an easier way. This insightful discussion covers the evolution of open table formats, how Databricks is solving interoperability, data governance and more. https://dbricks.co/47IvBha
- Excited to partner with AI at Meta to release the latest models in the Llama 3 series on Databricks! The Llama 3.2 release pushes the frontier of enterprise #GenAI with new smaller models for latency + cost-sensitive use cases and larger multimodal models for visual understanding. Customers can easily get started tuning the Llama 3.2 models securely and efficiently on their data. Available today in Databricks Mosaic AI. https://dbricks.co/3BhIRx3
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766,257 followers
5d Edited
Naveen Rao, VP of AI at Databricks, discusses how organizations can mitigate “data exhaustion” with data intelligence. Using your company or sector’s unique data for customized AI offers a competitive edge. “When we look at having an inundation of data, you actually have to find good information within that data. That’s the hard part.” Watch the full conversation on the Databricks Data Intelligence Platform via CNBC: https://dbricks.co/4eDOOmz - RAG is the leading technique for enhancing #LLMs with enterprise data. To help you get more from #GenAI, we’ve put together this compact guide to RAG. Get an in-depth overview of implementation best practices, use cases and how to properly evaluate the accuracy of your RAG applications: https://dbricks.co/4dkkaxz
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