Short answers, pulled from the story.
Databricks was founded in 2013 by seven researchers from the University of California, Berkeley, including Ali Ghodsi, Andy Konwinski, Arsalan Tavakoli-Shiraji, Ion Stoica, Matei Zaharia, Patrick Wendell, and Reynold Xin. These founders had previously developed Apache Spark at the AMPLab project before launching the company to build a data lakehouse architecture.
The data lakehouse architecture created by Databricks combines the low cost of data lakes with the speed of data warehouses into a single system. This architecture uses Delta Lake to add ACID transaction support to data lakes, allowing organizations to manage structured and unstructured data without moving it between disparate platforms.
Databricks received FedRAMP authorization in 2022, which allowed the company to work with the U.S. federal government and its contractors. This authorization validated the security and reliability of the lakehouse architecture for government use.
Databricks achieved a valuation of $134 billion by December 2025, growing from an initial seed funding of $13.9 million in September 2013. The company raised over $1.9 billion in total funding and secured a $10 billion financing round in December 2024 that valued the company at $62 billion.
Databricks acquired MosaicML in June 2025 for $1.4 billion to integrate generative AI capabilities into its platform. This acquisition was part of a broader strategy to become the operating system for AI and stay ahead of competitors like OpenAI and Google.