Leveraging AWS and OCI for Optimized Cloud Database Management
DOI:
https://doi.org/10.36676/jrps.v11.i4.1587Keywords:
Cloud Database Management, AWS (Amazon Web Services), Oracle Cloud Infrastructure (OCI)Abstract
Cloud database management has become a critical component for businesses seeking to enhance scalability, flexibility, and efficiency. In this paper, we explore the optimization of cloud database management through the integration of Amazon Web Services (AWS) and Oracle Cloud Infrastructure (OCI). Both platforms provide advanced solutions for database management, but their unique features, cost structures, performance characteristics, and security mechanisms demand careful evaluation. This paper presents a comprehensive analysis of AWS and OCI, comparing their respective database services, security models, and cost-efficiency techniques. We propose a hybrid approach that leverages the strengths of both platforms to achieve optimal database performance and scalability. Through experimental evaluations and simulations, we highlight how cloud service selection impacts critical metrics such as query response time, data throughput, and operational cost. Finally, we discuss the future potential for multi-cloud architectures, focusing on continuous innovations in database automation, machine learning integration, and real-time analytics.
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Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. Available at: http://www.ijcspub/papers/IJCSP20B1006.pdf
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