Databricks

Databricks builds a unified Data Intelligence Platform combining data engineering, data science and machine learning on a lakehouse architecture, and contributes open source projects including Apache Spark, Delta Lake and MLflow.

Databricks provides a unified Data Intelligence Platform built on a lakehouse architecture, which combines the capabilities of data warehouses and data lakes to give organisations a single source of truth. The platform spans data engineering, data science and machine learning, supporting ETL pipelines, model training and generative AI applications at scale. It is used by more than 15,000 organisations worldwide, including over 60% of the Fortune 500.

The company was founded in 2013 and is headquartered in San Francisco, with global operations. Its technical foundations trace to UC Berkeley, where its founders created Apache Spark, the distributed analytics engine that underpins the platform. Databricks also contributes several open source projects to the community, among them Delta Lake for reliable data lake storage, MLflow for the machine learning lifecycle, and Unity Catalog for data governance and cataloguing.

The work spans distributed computing, data warehousing, data lakes, machine learning and generative AI. The team is composed of engineers and researchers, and the stated mission is to make data and AI accessible to everyone rather than only technical experts. The company frames its work around helping customers solve difficult data problems across industries.