Summary
Unified data and AI platform for data engineering, analytics, ML, generative AI, agents, and governance.
Description
Databricks provides a unified lakehouse platform with ETL/Lakeflow, data warehousing, BI/Genie, Mosaic AI/Agent Bricks, model serving, AI Search/vector search for RAG, MLflow registry, and governance via Unity Catalog.
Positioning
Data Intelligence Platform for enterprise data, analytics, and AI
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2013
- Employee range
- 5001-10000
- Funding stage
- —
- Company type
- Private
- Pricing model
- Usage Based (Usage-based cloud platform)
- Last updated
Financials
- Revenue estimate
- >$5.4B revenue run-rate (Feb 2026)
- Valuation estimate
- >$100B last confirmed; later secondary/talks may vary
- Investments
- Series K at >$100B valuation announced Aug 2025; prior multi-billion total funding
Relationships
- Target customers
- Enterprise data, analytics, ML engineering, and AI application teams
- Key competitors
- Snowflake, Palantir, DataRobot, Domino Data Lab, H2O.ai
- Known customers
- AT&T, Shell, Walgreens, Comcast, Condé Nast (public case studies/examples)
Classification (raw research text)
- Core focus
- Data and AI platform / lakehouse / enterprise AI
- Core industry
- Data & AI Infrastructure
- Core category
- Lakehouse and AI platform
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments