Databricks

https://www.databricks.com/ Research Team Data
Active

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.

Positioning

Data Intelligence Platform for enterprise data, analytics, and AI

Key facts

HQ location
San Francisco, CA, USA
Founded
2013
Employee range
5001-10000 (5001-10000)
Funding stage
Bootstrapped
Company type
Private (Private)
Pricing model
Usage Based (Usage-based cloud platform)
Last updated
Jun 21, 2026

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

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 segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Primary focus
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Primary focus
  • Document AI / Document Processing Secondary feature
  • Model Deployment / Inference Infrastructure Primary focus
  • Traditional Machine Learning Primary focus
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Secondary feature
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Primary focus
  • AI Risk / Compliance Secondary feature
  • AI Asset Inventory / Model Registry Primary focus
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Text Chatbots / Conversational Assistants Secondary feature
  • Sales / Revenue Intelligence Secondary feature
  • Analytics / BI / Decision Intelligence Primary focus
  • Enterprise App / Internal Tool Builder Secondary feature
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Primary focus
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Primary focus
  • Document AI / Document Processing Secondary feature
  • Model Deployment / Inference Infrastructure Primary focus
  • Traditional Machine Learning Primary focus
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Secondary feature
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Primary focus
  • AI Risk / Compliance Secondary feature
  • AI Asset Inventory / Model Registry Primary focus
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Secondary feature
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Secondary feature
  • Analytics / BI / Decision Intelligence Primary focus
  • Enterprise App / Internal Tool Builder Secondary feature
  • Vertical-Specific AI Not emphasized