We're a team of engineers and researchers who started Databricks in 2013 with a simple but ambitious goal: make data and AI accessible to everyone, not just the technical experts. Our founders created Apache Spark at UC Berkeley, and we've spent the last decade building on that foundation to create a unified platform that brings together data engineering, data science, and machine learning. Today, more than 15,000 organizations worldwide - including over 60% of the Fortune 500 - use our Data Intelligence Platform to solve their toughest data challenges.
We believe in open source and have contributed projects like Delta Lake, MLflow, and Unity Catalog to the community. Our lakehouse architecture combines the best of data warehouses and data lakes, giving teams a single source of truth for all their data and analytics work. Whether you're building ETL pipelines, training machine learning models, or powering generative AI applications, we provide the tools and infrastructure to make it happen at scale. We're headquartered in San Francisco but operate globally, working with partners and customers across industries to help them put their data to work.