Databricks
Unified data and AI analytics platform
About
Founded in 2013 by the creators of Apache Spark, Databricks built the Data Intelligence Platform—combining a lakehouse architecture (Delta Lake), collaborative notebooks, MLflow for ML lifecycle management, and Unity Catalog for governance. The platform runs on all three major clouds and serves data engineers, data scientists, and analysts from a single interface. Customers span financial services, healthcare, media, and retail, including Shell, Conde Nast, and Regeneron. Databricks competes with Snowflake on analytics and with cloud-native ML platforms, differentiating on open-source foundations, unified batch and streaming, and integrated AI model training and serving.
Products
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Databricks Platform
— Unified platform for data, analytics, and AI to build apps, agents, and natural language insights.
Customer sectors: enterprises, data engineers, data scientists
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Lakebase
— Serverless Postgres database integrated with the lakehouse for scalable, production applications.
Customer sectors: app developers, data engineers, enterprises
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Genie
— Data-aware AI partner that accelerates work and delivers deeper business insights.
Customer sectors: business analysts, data scientists, executives
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Agent Bricks
— Build AI agents that improve accuracy and quality by learning from your data continuously.
Customer sectors: data scientists, AI developers, enterprises
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Lakehouse
— Open, intelligent data warehouse with built-in governance and AI to lower costs and improve scale.
Customer sectors: data engineers, data architects, enterprises
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Databricks — available to members.
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