Databricks
Enterprise data analytics platform built on unified lakehouse architecture.
Founded
2013Enterprise data analytics platform built on unified lakehouse architecture.
Databricks provides a Data + AI Platform built on an open lakehouse architecture that unifies data, governance, analytics, and AI workloads. It supports technical teams building and deploying secure data and AI applications.
The platform serves more than 20,000 organizations worldwide, including 70% of the Fortune 500. Databricks says customers use it to control enterprise data and apply that data to AI.
Databricks reported more than 20,000 customer organizations and said over 1,000 customers were consuming at annualized rates above $1 million. More than 100 customers were consuming at rates above $10 million.
Its August 2026 update also reported more than 80% annual growth, a $7 billion revenue run-rate, and positive adjusted free cash flow. Lakehouse and Lakebase each reached separate product revenue milestones, indicating growth across data and AI workloads.
Databricks combines an open lakehouse foundation with data governance and AI capabilities in one platform. Its architecture lets teams use organizational data across analytics, machine learning, applications, and agent systems.
The company also reports more than 1,200 global cloud, software, and consulting partners. That ecosystem supports joint customers as they scale data, analytics, and AI initiatives across preferred cloud environments.
Databricks offers pay-as-you-go pricing with no upfront cost and bills products at per-second granularity. Customers select services across the platform and pay for the products they use.
The company also offers committed-use contracts that exchange usage commitments for discounts and other benefits. Larger commitments can provide greater benefits and flexible use across multiple cloud providers.