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

Nandi, Siva Prasad (2025) AI-powered autonomy: The evolution and future of intelligent database management systems. World Journal of Advanced Engineering Technology and Sciences, 15 (2). 022-029. ISSN 2582-8266

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.