| Description |
| Summary |
Unified data and AI platform for data engineering, analytics, ML, generative AI, agents, and governance.
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| 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.
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| Positioning |
Data Intelligence Platform for enterprise data, analytics, and AI
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| Key facts |
| HQ location |
San Francisco, CA, USA
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| Founded |
2013
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| Employee range |
5001-10000
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| Company type |
Private
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| Pricing model |
usage based
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| Last updated |
Jun 21, 2026
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| Financials |
| Revenue estimate |
>$5.4B revenue run-rate (Feb 2026)
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| Valuation estimate |
>$100B last confirmed; later secondary/talks may vary
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| Investments |
Series K at >$100B valuation announced Aug 2025; prior multi-billion total funding
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| Relationships |
| Target customers |
Enterprise data, analytics, ML engineering, and AI application teams
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| Key competitors |
Snowflake, Palantir, DataRobot, Domino Data Lab, H2O.ai
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| Known customers |
AT&T, Shell, Walgreens, Comcast, Condé Nast (public case studies/examples)
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| Segments & Industries |
| Segments |
AI Workflows, AI Agents, LLM Fine-tuning, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, AI Quality & Observability, Traditional ML, AI Governance & Risk, Chatbots, Analytics & BI
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