Independent Researcher.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 2278-2290
Article DOI: 10.30574/wjaets.2025.15.1.0469
Received on 19 March 2025; revised on 26 April 2025; accepted on 28 April 2025
Cloud database technologies have emerged as a critical solution for enterprises grappling with explosive data growth and unpredictable workload patterns. This comprehensive article examines how modern cloud database systems address enterprise scalability challenges through dynamic resource allocation, distributed architectures, and automated management capabilities. Further, we deep dive into the core scalability technologies, including horizontal and vertical scaling approaches, automatic scaling mechanisms, and distributed database architectures that enable organizations to handle exponentially growing datasets. The article further analyzes various database service models (DBaaS, cloud-native distributed databases, self-managed deployments), resource optimization strategies (connection pooling, query optimization, workload management), and crucial implementation considerations for successful cloud database migrations. Through real-world examples across industries, this article demonstrates how properly implementing these technologies allows enterprises to balance performance requirements with cost optimization while maintaining the business agility required in today's data-driven landscape.
Enterprise Cloud Database Scalability; Horizontal Vs. Vertical Scaling Strategies; Distributed Database Architectures; Serverless Database Technology; Multi-Region Database Deployment; Database-As-A-Service (Dbaas); Workload Management Optimization; Cloud Database Migration Planning; Data Lifecycle Management; Predictive Auto-Scaling Mechanisms
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Sai Venkata Kondapalli. Cloud Database Scalability: Meeting Modern Enterprise Demands. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 2278-2290. Article DOI: https://doi.org/10.30574/wjaets.2025.15.1.0469.