A data lakehouse combines the strengths of both architectures: the flexibility of a data lake for unstructured data with the structure and transactional integrity of a data warehouse for analytical queries. Technically, this is enabled by open table formats like Delta Lake, which provide ACID transactions directly on the data lake.

The advantage: instead of operating two separate systems and copying data between them, all use cases run on a single platform — real-time analytics, regulatory reporting, machine learning. This reduces complexity, costs, and the risk of inconsistent data.