Evaluation of SQL and NoSQL Databases on Parallel Processing

Abstract

This study performs an independent examination of the performance exhibited by NoSQL and SQL databases regarding key-value stores in parallel processing using a simulation model containing 15 nodes. Specifically, the focus is on comparing the efficiency of read, write, delete, and instantiate operations within the context of key-value stores implemented with both NoSQL (MongoDB, RavenDB, and Cassandra) and SQL (MS-SQL) databases within the average time of three runs. The results show that SQL achieved better read operation times, while NoSQL databases, especially RavenDB, had better results in the other operations.

Topics & Concepts