Databricks

Databricks provides a unified Data Intelligence Platform for data engineering, data science and machine learning, built on Apache Spark and the lakehouse architecture.

Databricks builds a unified Data Intelligence Platform that brings together data engineering, data science and machine learning on a single lakehouse architecture, combining data warehouse and data lake capabilities to provide one source of truth for enterprise data. The platform is built on Apache Spark, the open source big data processing framework created by the company's founders while at UC Berkeley. More than 15,000 organizations worldwide use the platform, including over 60% of the Fortune 500.

Founded in 2013 and headquartered in San Francisco, Databricks operates globally, with customers and partners across industries. Its technical work spans data engineering, ETL pipelines, machine learning, generative AI and large-scale data processing. Beyond its commercial platform, the company maintains a significant open source footprint: Delta Lake, MLflow, Unity Catalog and Apache Spark are all projects contributed by Databricks to the community, and they form core components of its architecture.

The company was founded by engineers and researchers with a stated mission of making data and AI accessible beyond technical specialists. Its founders' academic roots in the creation of Apache Spark at UC Berkeley continue to inform a culture oriented towards open source contribution and solving large-scale data problems for customers.