About Databricks
With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products.
With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.
Today, more than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI.
Headquartered in San Francisco, with offices around the world, Databricks is on a mission to simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.
Databricks has 1,200+ global cloud, ISV and consulting partners that provide data, analytics and AI solutions and services to our joint customers to help scale initiatives with Databricks.
Why Databricks
Develop generative AI applications on your data without sacrificing data privacy or control.
Empower everyone in your organization to discover insights from your data using natural language.
Gain efficiency and simplify complexity by unifying your approach to data, AI and governance.
Top Features
Platform Overview
Sharing
Artificial Intelligence
Business Intelligence
Data Management
Real-Time Analytics
Pricing
Data Engineering
- Orchestrate data processing, machine learning and analytics pipelines; Build streaming and batch pipelines; Ingest data from a wide variety of sources with in-built connectors
Data Warehousing
- Run SQL queries for BI reporting, analytics and visualization to get timely insights from data lakes. Available in both Classic and Serverless (managed) Compute.
Interactive Workloads
- Run interactive data science and machine learning workloads. Build and deploy custom applications with the full security and governance of the Data Intelligence Platform.
Generative AI
- Build production-quality GenAI or ML apps across any use case
