Data Engineering
Choosing your cloud data stack: warehouse, lakehouse or mesh?
A pragmatic comparison of modern data architectures for mid-size organizations across AWS, Azure and GCP.
For most mid-size organizations, a cloud warehouse remains the right default: mature, predictable in cost, and well integrated with BI tools.
A lake or lakehouse becomes worthwhile when unstructured data is significant or when machine learning workloads run continuously.
Data mesh is an organizational model before it is a technical one. Do not adopt it before you have domain teams able to operate data products.
The practical rule: start simple, measure cost per query, and never buy complexity that does not serve an existing decision.
Tell us about your data challenge and we will come back with a practical path forward.
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