Cassandra’s Performance and Scalability Evaluation

Melyssa Barata, Jorge Bernardino


In the past, relational databases were the most commonly used technology for storing and retrieving data, allowing easier management and retrieval of any stored information organized as a set of tables. However, today databases are larger in size and the query execution time can become very long, requiring servers with bigger capacities. The purpose of this paper is to describe and analyze the Cassandra NoSQL database using the Yahoo! Cloud Serving Benchmark in order to better understand the execution capabilities for various types of applications in environments with different amounts of stored data. The experiments with Cassandra show good scalability and performance results and how the database size and number of nodes affect it.


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Paper Citation

in Harvard Style

Barata M. and Bernardino J. (2016). Cassandra’s Performance and Scalability Evaluation . In Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-193-9, pages 127-134. DOI: 10.5220/0005980101270134

in Bibtex Style

author={Melyssa Barata and Jorge Bernardino},
title={Cassandra’s Performance and Scalability Evaluation},
booktitle={Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},

in EndNote Style

JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Cassandra’s Performance and Scalability Evaluation
SN - 978-989-758-193-9
AU - Barata M.
AU - Bernardino J.
PY - 2016
SP - 127
EP - 134
DO - 10.5220/0005980101270134