Databricks

The Databricks Data Intelligence Platform is built on lakehouse architecture, which combines the best elements of data lakes and data warehouses to help reduce costs and deliver on data and AI initiatives faster. Built on open source and open standards, a lakehouse simplifies your data estate by eliminating the silos that historically complicate data and AI. The platform provides one architecture for integration, storage, processing, governance, sharing, analytics and AI; one approach to how you work with structured and unstructured data; one end-to-end view of data lineage and provenance; and one toolset for Python and SQL, notebooks and IDEs, batch and streaming, and all major cloud providers. Lakehouse is underpinned by widely adopted open source projects Apache Spark, Delta Lake and MLflow, globally supported by the Databricks Partner Network. It is an open and unified foundation for ETL, ML/AI, and DWH/BI workloads with Unity Catalog as the central data and AI governance solution. The platform is designed to keep all data in one place and support both BI and advanced analytics, removing the need for separate systems and complex data copies.