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Databricks

The data and AI platform built around Apache Spark, now selling the infrastructure enterprises use to build and govern their own AI applications.

Founded
2013
Based in
San Francisco, United States
Stage
Late-stage private
Business model
Enterprise contracts, Cloud & infrastructure services
Also in
Data & model training
Record
Needs reviewChecked 24 September 2026

What Databricks does

Databricks was founded in San Francisco in 2013 by Ion Stoica, Andy Konwinski, Reynold Xin and several other creators of Apache Spark, the open-source data-processing engine that began as a UC Berkeley research project. The company built a commercial platform - the "lakehouse" - around Spark that combines data warehousing and data-lake storage, and has expanded aggressively into generative AI tooling: model training, fine-tuning, RAG pipelines and its own MosaicML-derived open models, sold to enterprises that need to build AI applications on top of their own governed data.

Databricks has raised capital at an unusually fast pace through 2026 even for the sector, with its reported valuation roughly tripling within a year.

  • Data & analytics platforms
  • Developer APIs & tooling
  • Large language models
San Francisco37.77°, -122.42°Open map (opens in a new tab)

Runs it

  • Ion StoicaCo-founder & Executive Chairman
  • Andy KonwinskiCo-founder
  • Reynold XinCo-founder & Chief Architect
  • Ali GhodsiCo-founder & Chief Executive Officer

Databricks

Late-stage private

Funds it

  • Thrive Capital
  • Andreessen Horowitz
  • Insight Partners