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

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.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-05
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0524
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Somen Nandi
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
article

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

Somen Nandi
article en

Abstract

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.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 85%
Big Data and Business Intelligence
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