Data Mesh vs. Data Fabric: Key Differences, When to Use Each, and Why Enterprises Are Choosing Both
This article explores the fundamental differences between Data Mesh and Data Fabric, two prominent modern data management architectures. It explains that while Data Fabric is a technology-centric approach that uses metadata and AI to create a unified, automated layer across disparate data sources, Data Mesh is a people-centric and decentralized approach that treats data as a product owned by specific business domains. The guide helps business leaders and data architects understand the technical vs. organizational nuances of each to decide whether to implement one, the other, or a hybrid model.