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.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-04-13
DOI
https://doi.org/10.30574/wjarr.2025.26.1.1163
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-cloud database migration: Strategies for seamless data portability

Ellavarasan Asokan
World Journal of Advanced Research and Reviews
Cloud Computing and Resource Management
article

Multi-cloud database migration: Strategies for seamless data portability

Ellavarasan Asokan
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.

World Journal of Advanced Research and ReviewsVol. 26(1)
Openalex Percentile: Top 91%
Cloud Computing and Resource Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.