Definition · data warehousing
Lakehouse
Lakehouse is a hybrid architecture that combines the low-cost open storage of a data lake with the management, structure, and query performance of a data warehouse. For lakehouse, a useful definition states a hybrid architecture that combines the low-cost open storage of a data lake with the management, structure, and, who owns it, and which decision it supports.
Also known as data lakehouse
Why it matters
Understanding lakehouse matters because leaders need a shared, source-backed meaning before they can compare results, explain performance, or decide what to do next. When the term is tied to a source system, owner, and review cadence, it becomes easier to audit assumptions, catch changes early, and keep operators aligned.
In practice
Operating example
Lakehouse is useful when teams need a shared interpretation of a hybrid architecture that combines the low-cost open storage of a data lake with the management, structure, and query performance of a data warehouse. The definition should make source data, timing, ownership, and the decision it supports explicit.
Review example
Lakehouse should be reviewed whenever the source system, calculation logic, time period, or decision owner changes. That keeps the definition useful instead of letting it drift into a label.
In practice, teams should define lakehouse with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding lakehouse matters because leaders need a shared, source-backed meaning before they can compare results, explain performance, or decide what to do next. When the term is tied to a source system, owner, and review cadence, it becomes easier to audit assumptions, catch changes early, and keep operators aligned.
A strong workflow for lakehouse separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
FAQ
What is a data lakehouse?
Lakehouse is a hybrid architecture that combines the low-cost open storage of a data lake with the management, structure, and query performance of a data warehouse. For lakehouse, a useful definition states a hybrid architecture that combines the low-cost open storage of a data lake with the management, structure, and, who owns it, and which decision it supports.
How is a lakehouse different from a data warehouse and a data lake?
The boundary for lakehouse differs from related terms by scope, source data, time period, and decision use. In this glossary, it covers a hybrid architecture that combines the low-cost open storage of a data lake with the management, structure, and query performance of a data warehouse, so teams should compare those boundaries before using it in reporting or planning.