Multi-cloud database migration: Strategies for seamless data portability

Multi-cloud database migration presents both significant opportunities and complex challenges for enterprises seeking to achieve data portability across AWS, Azure, Google Cloud, and other platforms. This article examines strategies for seamless database migrations in multi-cloud environments, addressing key considerations including cross-cloud data federation through polyglot persistence and virtualization, network optimization via AI-driven traffic management and strategic caching, security implementation through zero-trust architectures, schema conversion through homogenization and automation, and cost management through optimization and workload-based resource allocation. The evolution toward standardization, including the development of vendor-neutral platforms, cloud-native database systems, and sophisticated abstraction layers, promises to reduce migration friction while enabling truly portable data architectures that balance performance, security, and compliance requirements.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17222181
Primary Topic
ZnO doping and properties
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-cloud database migration: Strategies for seamless data portability

Zenodo (CERN European Organization for Nuclear Research)
ZnO doping and properties
article

Multi-cloud database migration: Strategies for seamless data portability

article en

Abstract

Multi-cloud database migration presents both significant opportunities and complex challenges for enterprises seeking to achieve data portability across AWS, Azure, Google Cloud, and other platforms. This article examines strategies for seamless database migrations in multi-cloud environments, addressing key considerations including cross-cloud data federation through polyglot persistence and virtualization, network optimization via AI-driven traffic management and strategic caching, security implementation through zero-trust architectures, schema conversion through homogenization and automation, and cost management through optimization and workload-based resource allocation. The evolution toward standardization, including the development of vendor-neutral platforms, cloud-native database systems, and sophisticated abstraction layers, promises to reduce migration friction while enabling truly portable data architectures that balance performance, security, and compliance requirements.

Zenodo (CERN European Organization for Nuclear Research)
Anna University, Chennai (IN)
Reduced inequalities
Openalex Percentile: Top 59%
ZnO doping and properties
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