Databricks is a unified data and AI platform combining data engineering, a serverless lakehouse warehouse, governance, and tools for building AI agents and generative AI applications, including a natural-language BI assistant (Genie). Founded in 2013 by the creators of Apache Spark, it’s used by 60%+ of the Fortune 500, reached a valuation in the $130B+ range through 2025-2026 funding, and holds deep compliance credentials including SOC 2, HIPAA, ISO 27001, and FedRAMP.

Build and run apps, agents, and AI on your data

Key features

Genie (AI/BI Assistant): natural-language conversational analytics without writing SQL
Agent Bricks: builds production-ready AI agents grounded in a company's own data
Lakeflow: builds and orchestrates ETL pipelines for batch and streaming data
Lakehouse / Databricks SQL: serverless data warehousing with built-in governance and AI
Lakebase: serverless Postgres database purpose-built for AI agents and applications
Unity Catalog: unified governance across data, ML models, dashboards, and AI agents
Mosaic AI / Foundation Model APIs: model serving with zero-retention guarantees
Marketplace & Partner Connect: open data/AI asset marketplace and ecosystem integration

Strengths

Extraordinary scale: used by 60%+ of the Fortune 500, 20,000+ customers, 5x Gartner Magic Quadrant Leader
Deep compliance readiness: SOC 2 Type II, ISO 27001/27017/27018, HIPAA (BAA available), HITRUST CSF, PCI-DSS, FedRAMP Moderate on qualifying deployments
Explicit AI data-use guarantees: customer data not used to train Databricks' own models
Founded by the original creators of Apache Spark, giving deep open-source technical credibility
Strategic partnerships with AWS, Azure, GCP, OpenAI ($100M), and Anthropic
Massive capital base ($130B+ valuation) funding continued R&D and acquisitions (MosaicML, Tabular, Neon)

Best for

Data engineers building and orchestrating large-scale batch and streaming ETL pipelines
Data scientists and ML engineers building, training, and deploying ML and generative AI models
Business analysts and non-technical users querying data conversationally via Genie
Enterprise data governance and compliance teams needing unified access control and lineage
Platform/infrastructure teams replacing legacy data warehouses with an open lakehouse architecture

Integrations

AWS (native, deep, system)
Microsoft Azure (native, deep, system)
Google Cloud Platform (native, deep, system)
OpenAI (api, deep, system)
Anthropic (api, deep, system)

Pricing

Free tier available - 14-day free trial

Databricks

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Added By carolinez