University of Madras, India.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 022-029
Article DOI: 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
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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.