A hybrid data repository that combines elements of a data lake and a data warehouse and supports multiple workloads including business intelligence, data science, and self-service analytics. At a minimum, they support SQL constructs and cloud-native object stores.
Added Perspectives
What the experts say.
The emerging “data lakehouse” concept describes a hybrid data management environment that combines the characteristics of a data warehouse and a data lake.
A lakehouse is described by its advocates as a combination of a data lake and a data warehouse that implements warehouse-like data structures and data management functions on low-cost storage that is typically used for data lakes.
The term “data lakehouse” is a metaphor, just like “data warehouse” and “data lake”. These metaphors communicate conceptually what the technology tries to do physically. As such, a data lakehouse is a data structure that tries to combine the characteristics of a data warehouse and a data lake. In that sense, almost every modern data management offering can be considered a data lakehouse.
Relevant Content
Keep reading.
Blog
Data Lakehouses Hold Water (thanks to the Cloud Data Lake)
Jun 08, 2020 - Economic, elastic and open cloud-based data lakes efficiently run business intelligence workloads in ways that smell a lot like data warehouses.
Browse the Glossary
Look up a term.
- 0..9
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z
Talk To Us
Let's build your data strategy.
Tell us where your data is today, and we will show you the climb from here. Based in Denver, working with teams everywhere.