Databricks
The Data and AI Company
Customers
10,000+
Fortune 500 Customers
Over 50%
Founded by
Original creators of Apache Spark
About Databricks
The Databricks platform is built on an open lakehouse architecture, leveraging open source technologies like Apache Spark, Delta Lake, and MLflow. It provides a collaborative environment where teams can work together on data pipelines, SQL analytics, and machine learning models. The platform integrates with all major cloud providers (AWS, Azure, GCP) and offers a suite of tools for the entire data lifecycle, from data ingestion and ETL to data governance (Unity Catalog) and machine learning operations. Use cases range from traditional BI to generative AI, serving enterprises looking to unify their data and AI workflows on a single, scalable platform.
Platform Capabilities
Data Warehousing
Provides high-performance SQL analytics on all data types with Databricks SQL.
Data Engineering
Reliable and scalable ETL, from batch to streaming, using Delta Live Tables.
Data Streaming
Real-time analytics, machine learning, and applications on streaming data.
Machine Learning & Ai
A collaborative environment for the full machine learning lifecycle with MLflow.
Data Governance
Unified governance for data, analytics, and AI assets with Unity Catalog.
Core Technologies
Apache Spark
The underlying engine for large-scale data processing.
Delta Lake
An open-format storage layer that brings reliability to data lakes.
Mlflow
An open source platform to manage the ML lifecycle, including experimentation, reproducibility, and deployment.
Unity Catalog
A unified governance solution for all data and AI assets on any cloud.