Databricks
Research Team Data
Published
Data Intelligence Platform for enterprise data, analytics, and AI
Company profile
Overview
Unified data and AI platform for data engineering, analytics, ML, generative AI, agents, and governance.
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.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2013
- Employee range
- 5001-10000
- Company type
- Private
- Last updated
- Pricing model
- Usage BasedUsage-based cloud platform
Business context
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
Market context
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)
Source context
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.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI AgentsLLM Fine-tuningAI Developer ToolsKnowledge & RAGDocument AILLM DeploymentAI Quality & ObservabilityTraditional MLAI Governance & RiskChatbotsAnalytics & BI