Lakehouse

A Lakehouse is a data architecture that combines the benefits of both data lakes and data warehouses. It integrates the scalability and flexibility of data lakes with the performance, reliability, and structured data management capabilities of data warehouses. This hybrid approach allows organizations to store vast amounts of raw data in a data lake format (often in cheap storage like cloud object stores), while also enabling the use of ACID transactions, schema enforcement, and data indexing typically associated with data warehouses.

Lakehouses support both structured and unstructured data, making them ideal for modern analytics and machine learning workflows, allowing organizations to manage and analyze data from various sources in a more unified and cost-effective way. Databricks, for example, promotes the Lakehouse architecture to streamline data engineering and data science tasks on a single platform.