Vol. 14 No. 4 (2022): Emerging Trends in Machine Intelligence and Big Data - 141
Articles

The Role of NoSQL Databases in Supporting Real-Time Analytics in Cloud Computing Platforms: Performance and Efficiency Considerations

Anton Popov
Department of Computer Science, Veliko Tarnovo University, Hristo Botev Street 24, Veliko Tarnovo, 5000, Bulgaria.
Radoslav Dimitrov
Department of Computer Science, Plovdiv University, Tsar Asen Street 15, Plovdiv, 4000, Bulgaria.

Published 2022-04-10

How to Cite

Anton Popov, & Radoslav Dimitrov. (2022). The Role of NoSQL Databases in Supporting Real-Time Analytics in Cloud Computing Platforms: Performance and Efficiency Considerations. Emerging Trends in Machine Intelligence and Big Data, 14(4), 52–60. Retrieved from https://orientreview.com/index.php/etmibd-journal/article/view/91

Abstract

The rise of cloud computing has driven the need for scalable, high-performance database solutions to support real-time analytics. NoSQL databases have emerged as a key technology in this domain, offering advantages over traditional relational databases in terms of flexibility, scalability, and efficiency. This paper explores the role of NoSQL databases in cloud computing platforms, focusing on their ability to handle the challenges of real-time analytics. It examines the architectural benefits of NoSQL databases, including horizontal scalability, schema-less data models, and fault tolerance, which are critical for processing large volumes of unstructured data. Additionally, the paper discusses performance and efficiency considerations, highlighting the trade-offs between eventual consistency and low-latency data access. The findings suggest that NoSQL databases are well-suited for real-time analytics in cloud environments, providing the necessary infrastructure for organizations to derive actionable insights from data in real-time. However, certain challenges related to consistency and performance must be managed to fully capitalize on their potential in real-time applications.