Lakehouse
A modern data architecture that combines the flexibility of data lakes with the management capabilities of data warehouses. Built on open storage and open table formats, it delivers ACID transactions, version management, and schema evolution on top of object storage.
Timeline (last 90 days)
The lakehouse attempts to solve the problems of duplicated data movement and inconsistent metadata in traditional architectures that separate data lakes and warehouses.
The lakehouse means the same copy of data can simultaneously serve BI reports, machine learning, and exploratory analysis, reducing redundant steps in the ETL pipeline.
On standard benchmarks such as TPC-DS, the query latency of lakehouse solutions has substantially approached and in some cases surpassed that of certain proprietary data warehouses.
Whether the lakehouse architecture will completely replace data warehouses remains an open question.
All Facts (4)
The lakehouse attempts to solve the problems of duplicated data movement and inconsistent metadata in traditional architectures that separate data lakes and warehouses.
50%UnverifiedThe lakehouse means the same copy of data can simultaneously serve BI reports, machine learning, and exploratory analysis, reducing redundant steps in the ETL pipeline.
50%UnverifiedOn standard benchmarks such as TPC-DS, the query latency of lakehouse solutions has substantially approached and in some cases surpassed that of certain proprietary data warehouses.
50%UnverifiedWhether the lakehouse architecture will completely replace data warehouses remains an open question.
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