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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

AI-powered autonomy: The evolution and future of intelligent database management systems

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  • AI-powered autonomy: The evolution and future of intelligent database management systems

Siva Prasad Nandi *

University of Madras, India.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 022-029

Article DOI: 10.30574/wjaets.2025.15.2.0524

DOI url: https://doi.org/10.30574/wjaets.2025.15.2.0524

Received on 22 March 2025; revised on 29 April 2025; accepted on 01 May 2025

Serverless databases represent a transformative approach to data management in cloud computing environments, offering dynamic resource allocation without the traditional burden of infrastructure management. This article explores the fundamental architecture, technical principles, and operational advantages of serverless database systems. By automatically scaling resources in response to real-time demand and implementing a consumption-based pricing model, these solutions provide organizations with unprecedented flexibility and cost efficiency. This article examines implementation strategies, comparative analyses of leading platforms, while providing insights into performance optimization techniques and architectural considerations. Through detailed case studies and technical evaluations, this article demonstrates how serverless databases are reshaping application development practices and enabling businesses to focus on innovation rather than infrastructure management. 

Cloud Database Architecture; Dynamic Resource Allocation; Consumption-Based Pricing; Infrastructure Abstraction; Automated Scaling

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0524.pdf

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Siva Prasad Nandi. AI-powered autonomy: The evolution and future of intelligent database management systems. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 022-029. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0524.

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