Abstract
This paper presents an experimental study evaluating the performance of NoSQL database management systems. The study compares two NoSQL database management systems (Cassandra and MongoDB) and considers the following parameters/factors: workload and degree of parallelism. Two different workloads (update heavy and mostly read) were used, and different numbers of threads. The measured results are related to average latency: update latency and read latency. Our study shows that with the only exception of 1000 operations, both latency indicators have a quasi-parabolic behavior, where the minimum (i.e. the best performance) depends mainly on the number of threads and slightly varies with the increase in the number of operations. In the case of 1000 operations, there is also a maximum point (i.e. worst performance) case, after which the latency decreases.
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