Comparative Study of Distributed NoSQL Databases

• Kaique J. Costa UPM
• Kalvin V. V. Santos UPM
• Roger T. Rojas UPM
• Wendel S. Duarte Junior UPM
• Calebe P. Bianchini UPM https://orcid.org/0000-0001-7683-3437

DOI: https://doi.org/10.5753/eradsp.2022.221940

Abstract

With the growth of NoSQL databases on the market and the great amount of data in today's digital world, the amount of data often exceeds the computing power of one machine, which makes it necessary to utilize a distributed database system. In this scenario, many IT professionals don't know which database is the best option when starting a new project. This study has the objective of making a performance evaluation and comparison between three popular NoSQL databases (Redis, MongoDB, and Cassandra), distributing data across three distinct nodes that are subject to specific scenarios of data processing (update, read, and write) so that the IT community can have a better understanding of those technologies.

Keywords: Performance Monitoring, Evaluation, and Prediction, Parallel and Distributed Database Systems, Distributed Systems

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