A Weighted Scoring Model Analysis of Cloud Storage Services: Comparing AWS, Azure, and Google Cloud Platform
A Weighted Scoring Model Analysis of Cloud Storage Services: Comparing AWS, Azure, and Google Cloud Platform |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-6 |
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| Year of Publication : 2025 | ||
| Author : Hasnae NOUHAS, Abdessamad BELANGOUR, Mahmoud NASSAR | ||
| DOI : 10.14445/22315381/IJETT-V73I6P129 | ||
How to Cite?
Hasnae NOUHAS, Abdessamad BELANGOUR, Mahmoud NASSAR, "A Weighted Scoring Model Analysis of Cloud Storage Services: Comparing AWS, Azure, and Google Cloud Platform," International Journal of Engineering Trends and Technology, vol. 73, no. 6, pp.350-370, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I6P129
Abstract
Cloud storage solutions have become integral to modern data management for scalability, Security, and efficiency. The current study has assessed offerings by Azure, AWS, and the Google Cloud Platform for storage services using the WSM, extending a first systematic review to object, block, file, archive, hybrid, backup, and edge/offline storage. This review considers critical criteria: performance, Availability, scalability, Security, cost efficiency, integration, usability, and data management. In this study, sharp differences emerge among providers. Google Cloud Platform is exceptionally strong in performance and scalability-particularly block and archive storage-which makes it a perfect fit for latency-sensitive and integration-intensive applications. AWS outshines most on performance grounds, usability, and scalability; it leads in file, object, and hybrid storage classes and can be adapted into use in any given scenario. Azure is driven by cost-effectiveness and seamlessly integrates with ecosystem engagement, offering tangible value to budget-conscious organisations and tactically leveraging the Azure cloud. This research provides methods to evaluate cloud storage, spanning the depth that generally seems to lie between a rich set of technological capabilities and specific business needs. The results reinforce that storage decisions must be aligned with specific operational needs to realise the most efficiency and value. Implications range from guiding organisations in adopting fitted storage strategies to contributing to the greater understanding of relative cloud storage performance and usability within the cloud computing domain.
Keywords
AWS, cloud storage evaluation, Google Cloud platform, Azure, WSM.
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