The Convergence of Data Mesh and Data Fabric: Complementary Approaches or Competing Paradigms

This article explores the relationship between two emerging data architecture paradigms: Data Mesh and Data Fabric. While these approaches are often positioned as competing alternatives, this analysis demonstrates how they address different aspects of modern data challenges and can work together synergistically. Data Mesh provides an organizational framework emphasizing domain ownership and data-as-a-product thinking, while Data Fabric offers a technical integration layer that connects disparate data sources. Through examination of their principles and theoretical underpinnings, this article presents a unified view of how organizations can leverage both approaches to create more effective data ecosystems.

Authors

Publication Details

Journal
International Journal of Innovative Research in Science Engineering and Technology
Published
2025-03-30
DOI
https://doi.org/10.15680/ijirset.2025.1403444
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

The Convergence of Data Mesh and Data Fabric: Complementary Approaches or Competing Paradigms

Sowmya Mupparaju
International Journal of Innovative Research in Science Engineering and Technology
Advanced Data Storage Technologies
article

The Convergence of Data Mesh and Data Fabric: Complementary Approaches or Competing Paradigms

Sowmya Mupparaju
article en

Abstract

This article explores the relationship between two emerging data architecture paradigms: Data Mesh and Data Fabric. While these approaches are often positioned as competing alternatives, this analysis demonstrates how they address different aspects of modern data challenges and can work together synergistically. Data Mesh provides an organizational framework emphasizing domain ownership and data-as-a-product thinking, while Data Fabric offers a technical integration layer that connects disparate data sources. Through examination of their principles and theoretical underpinnings, this article presents a unified view of how organizations can leverage both approaches to create more effective data ecosystems.

International Journal of Innovative Research in Science Engineering and TechnologyVol. 14(03)
Openalex Percentile: Top 94%
Advanced Data Storage Technologies
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