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Databricks

Databricks provides a unified Data + AI platform that combines data engineering, warehousing, machine learning, and AI agent development in a single environment. The platform includes Lakebase, a serverless Postgres database built for AI agents, Genie, an AI coworker that turns business data into trusted answers, and Unity AI Gateway for multi-AI governance and cost controls. More than 20,000 organizations, including 70% of the Fortune 500, rely on the platform to build and scale data and AI applications.

Traction 10/10
San Francisco, California, United States · HQ
Founded 201314.2K50K+ followers
  • Artificial Intelligence
  • Enterprise Software
  • AI Agents
  • Data & Analytics
  • Developer Tools
  • Software Only
Updated today

Funding

Raised to date

$19.6BRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 4 rounds

+51

$5B · Strategic

Announced Aug 2026 · from article date

Disclosed cumulative: $19.6B

4/4

Founders

8 founders

Ali Ghodsi

CEO and Co-founder

Since Jan 2016 · 10 yrs 10 mos

  • UC Berkeley
  • KTH

UC Berkeley Adjunct Professor

Andy Konwinski

Co-founder

Since Jan 2013 · 13 yrs 10 mos

  • UC Berkeley

Laude Ventures Co-founder, GP

Matei Zaharia

CTO & Cofounder

Since 2013 · 13 yrs

  • UC Berkeley
  • Stanford
  • MIT
  • Waterloo

University of California, Berkeley

Patrick Wendell

Co-founder and VP of Engineering

Since 2013 · 13 yrs

  • Ex-Google
  • UC Berkeley
  • Princeton

UC Berkeley, B.S.E. Computer Science Princeton

Reynold Xin

Co-founder

Since 2013 · 13 yrs

  • UC Berkeley

PhD (Ph.D.) Computer Science UC Berkeley

Scott Shenker

Co-founder

Databricks • Co-founder

Arsalan Tavakoli-Shiraji

Co-founder

Databricks • Co-founder

Ion Stoica

Co-founder

Databricks • Co-founder

Product

Problem

Enterprises struggle to build and scale AI applications that require reliable access to real-time operational data, accurate business context, and cost-effective model management. Fragmented data infrastructure, governance challenges, and rising AI token costs make it difficult for organizations to deploy AI agents that deliver trustworthy results without exceeding budgets.

Solution

Databricks offers a unified Data + AI platform that combines data engineering, warehousing, machine learning, and AI agent development in a single environment. The platform includes Lakebase, a serverless Postgres database built specifically for AI agents, Genie, an AI coworker that converts business data into trusted answers and actions, and Unity AI Gateway for multi-AI governance and cost controls. This integrated approach gives teams the foundation, enterprise context, and smart routing needed to build AI that works reliably at scale.

Target Audience

Primary customers are enterprise organizations across industries including financial services, healthcare, retail, manufacturing, and telecommunications that need to build and scale data analytics, machine learning, and AI applications.

Features

  • Lakebase: serverless Postgres database for real-time operational data supporting AI agent workloads
  • Genie: AI coworker that turns business data into trusted answers and automated actions
  • Unity AI Gateway: multi-AI governance with smart model routing and cost optimization controls
  • Lakehouse architecture combining data lake and warehouse capabilities for unified analytics
  • Unity Catalog: unified governance for all data, analytics, and AI assets
  • Open source foundation including Apache Spark, Delta Lake, and MLflow
  • Data engineering with ETL and orchestration for batch and streaming data
  • Application development tools for building secure data and AI applications
This profile is AI-generated and may contain inaccuracies.