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The Future of Data Management: A Delimitation of Data Platforms, Data Spaces, DataMeshes, and Data Fabrics

Anna Gieß & Andreas Hutterer

Information Systems and e-Business Management2025https://doi.org/10.1007/s10257-025-00707-4article
AJG 2ABDC B
Weight
0.37

Abstract

As traditional data management approaches increasingly become barriers to innovation, emerging modern approaches such as data spaces, fabrics and meshes provide much-needed flexibility. To demonstrate the potential of these modern approaches, we conducted a structured literature review and comparative analysis of 189 contributions to explore the differences between data platforms, data spaces, data fabrics and data meshes, highlighting their unique advantages in terms of governance mode and application area. Throughout our delimitation, the study reveals that data platforms and data fabrics offer centralized structures, ensuring control, accessibility, and streamlined management while decentralized data meshes and data spaces prioritize flexibility. We provide a data management matrix that provides valuable insights for organizations seeking to optimize their data management strategies in the sharing economy.

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https://doi.org/https://doi.org/10.1007/s10257-025-00707-4

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@article{anna2025,
  title        = {{The Future of Data Management: A Delimitation of Data Platforms, Data Spaces, DataMeshes, and Data Fabrics}},
  author       = {Anna Gieß & Andreas Hutterer},
  journal      = {Information Systems and e-Business Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s10257-025-00707-4},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.