Unified analytics platform built on Apache Spark that introduces the Lakehouse pattern — combining the low-cost storage of a data lake with the reliability and query performance of a data warehouse. It provides a collaborative notebook environment for data engineers, analysts, and data scientists to work with Delta Lake tables, run large-scale ETL, train ML models, and serve predictions all in one place.
A retail company uses Databricks to ingest raw clickstream data into Delta Lake, run SQL analytics for business reporting, and train product recommendation models — all within a single platform shared by their data engineering and ML teams.
These services offer similar capabilities for big data processing and analytics, often leveraging Apache Spark for distributed data processing. Azure Databricks is a direct collaboration between Microsoft and Databricks, providing a seamless integration with Azure services.