Data Mesh vs. Data Fabric: The Future of Data Management
Year: 2025
Type: article
Abstract: This comprehensive article explores the emerging paradigms of Data Mesh and Data Fabric as solutions to the limitations of traditional centralized data management approaches. Data Mesh represents a domain-oriented, decentralized model emphasizing organizational ownership structure, while Data Fabric focuses on creating an intelligent metadata-driven integration layer with automated capabilities. The article examines the core principles, implementation considerations, and ideal use cases for both architectures through real-world applications with various organizations. A detailed comparative analysis reveals their fundamental differences in primary focus, governance approaches, implementation complexity, scalability characteristics, real-time capabilities, AI/ML integration, and organizational fit. The discussion extends to future convergence trends, including AI-driven governance, federated learning, edge computing integration, and semantic layer development, concluding with a phased implementation roadmap for organizations considering these architectural approaches.
Author: Siddhartha Parimi -
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408909031