Author(s): Elias Mutanda, Hannah Mwangi and Liam O'Connor

Abstract: Distributed databases have emerged as a critical component in the realm of cloud computing, offering enhanced scalability, fault tolerance, and high availability. With the increasing adoption of cloud platforms, the need for efficient data management systems that can support large-scale applications has become paramount. This paper presents comparative research of the role of distributed databases in cloud computing, focusing on their architecture, benefits, challenges, and applications. The research examines several distributed database systems, such as Amazon Aurora, Google Spanner, and Apache Cassandra, comparing them based on factors like consistency, performance, fault tolerance, and scalability. The research highlights the advantages of distributed databases, particularly in their ability to distribute data across multiple nodes and maintain data integrity even in the event of node failures. It also addresses the challenges, including network latency, consistency models, and the complexity of managing distributed systems. Moreover, the paper explores the potential of distributed databases in various cloud applications, such as big data processing, real-time analytics, and high-performance computing. The paper concludes by providing recommendations for organizations considering the adoption of distributed databases in their cloud computing strategies, emphasizing the importance of understanding the trade-offs between consistency and availability in the context of specific application needs.

DOI: 10.33545/26633582.2026.v8.i1a.246

Pages: 32-35 | Views: 86 | Downloads: 42

Download Full Article: Click Here