Lakehouse vs warehouse: the right data foundation

Pick the wrong data foundation and you’ll feel it for years — in cost, in speed, and in the questions you simply can’t answer. Here’s how to choose between a warehouse and a lakehouse.

The data warehouse

Structured, governed and fast for analytics. Warehouses excel at BI and dashboards over clean, modelled data — but they’re less comfortable with raw, semi-structured or streaming data.

The data lakehouse

A lakehouse keeps the cheap, flexible storage of a data lake and adds warehouse-grade structure and transactions on top. One place for BI, machine learning and streaming — without copying data between systems.

How to choose

• Mostly BI on structured data? A warehouse is simple and proven.
• Mixing analytics, ML and raw data at scale? A lakehouse avoids silos.
• Unsure? Modern platforms blur the line — start with your actual workloads, not the brochure.

Architecture should follow the questions you need to answer. Decide those first, and the right foundation becomes obvious.