Data Mesh vs. Data Fabric: Key Differences and Which to Choose in 2023

As data becomes increasingly vital in business strategy, organizations must effectively manage, process, and store their data. Two popular architectures for this purpose are Data Mesh and Data Fabric. While Data Mesh emphasizes a decentralized approach to data management with each domain managing its own infrastructure, Data Fabric promotes seamless integration of diverse data sources into a single layer. The choice between these two approaches depends on factors such as the complexity of data models, data accessibility requirements, existing data infrastructure, and the organization's preference for decentralized or unified data management. Regardless of the chosen architecture, data observability is crucial in ensuring high-quality and consistent data across the entire platform.