# Databricks

> Databricks is a San Francisco-based data and AI company founded in 2013 by the original creators of Apache Spark. It builds the Data Intelligence Platform - a lakehouse architecture that unifies data engineering, analytics, and machine learning on open formats. Used by more than 10,000 organizations worldwide, Databricks helps enterprises store, govern, and analyze data and build AI applications on top of it, all under a single governance model.

- **Founded:** 2013
- **Headquarters:** San Francisco, California, United States
- **Founders:** Ali Ghodsi (Co-Founder & CEO), Matei Zaharia (Co-Founder & CTO), Ion Stoica (Co-Founder & Executive Chairman), Reynold Xin (Co-Founder & Chief Architect), Andy Konwinski (Co-Founder), Patrick Wendell (Co-Founder & VP of Engineering), Arsalan Tavakoli (Co-Founder & SVP of Field Engineering)
- **Team size:** Approximately 10,000 employees (2026)
- **Products:** Data Intelligence Platform, Apache Spark, Delta Lake, Unity Catalog, Mosaic AI
- **Notable:** Created and open-sourced Apache Spark, one of the most widely used big data engines in the world., Pioneered and popularized the 'lakehouse' data architecture category., Reached a $134 billion valuation and ~$6.9B revenue run rate by 2026.

## Products & services

- **Data Intelligence Platform** — The flagship unified platform combining a data lakehouse with AI, letting organizations run data engineering, SQL analytics, and machine learning under one governance model.
- **Apache Spark** — The open-source distributed computing engine created by the founders and commercialized by Databricks for large-scale data processing.
- **Delta Lake** — Open-source storage layer bringing ACID transactions, schema enforcement, and time travel to data lakes - the foundation of the lakehouse.
- **Unity Catalog** — Unified governance layer for data, applications, and AI agents across clouds and engines.
- **Mosaic AI** — Integrated suite for building, fine-tuning, and deploying machine learning and generative AI models on enterprise data.
- **Databricks SQL** — Serverless data warehousing and BI analytics engine running directly on the lakehouse.
- **MLflow** — Open-source platform for managing the machine learning lifecycle, from experimentation to deployment.
- **DBRX** — Open large language model released by Databricks, a mixture-of-experts model developed through the Mosaic Research team.

## Achievements

- Created and open-sourced Apache Spark, one of the most widely used big data engines in the world.
- Pioneered and popularized the 'lakehouse' data architecture category.
- Reached a $134 billion valuation and ~$6.9B revenue run rate by 2026.
- Acquired the original creators of both Delta Lake and Apache Iceberg, unifying the two leading open lakehouse formats.
- Shipped DBRX, an open frontier-class large language model, from a data platform vendor.
- Serves more than 10,000 organizations, including over 60% of the Fortune 500.

## Latest updates

- **2026-06** — Reported in talks to raise a new funding round at a valuation between $165B and $175B; annualized revenue run rate reported around $6.9B.
- **2026-06** — Acquired Panther, a San Francisco-based cloud security analytics platform.
- **2026-02** — Completed a ~$5 billion funding round (including ~$2B in debt) at a $134 billion valuation.
- **2025-12** — Announced a $4 billion Series L round valuing the company at $134 billion, more than doubling its early-2025 valuation.
- **2024-12** — Closed a $10 billion Series J round, one of the largest venture rounds in history.
- **2024-06** — Agreed to acquire Tabular, founded by the original creators of Apache Iceberg, for a reported ~$1-2 billion.

## Links

- Website: https://www.databricks.com
- LinkedIn: https://www.linkedin.com/company/databricks
- Twitter/X: https://twitter.com/databricks
- GitHub: https://github.com/databricks
- YouTube: https://www.youtube.com/databricks
- Instagram: https://www.instagram.com/databricksinc/
- Facebook: https://www.facebook.com/databricksinc/

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Profile page: https://yespress.io/databricks
Published by YesPress — https://yespress.io
Last updated: 2026-07-16