HBase or Cassandra? A Comparative study of NoSQL Database Performance

NoSQL database management systems are very diverse and are known to evolve very fast. With so many NoSQL database options available nowadays, it is getting harder to make the right choice for certain use cases. Also, even for a given NoSQL database management system, performance may vary significantly between versions. Database performance benchmarking shows the actual performance for different scenarios on different hardware configurations in a straightforward and precise manner. This paper presents a NoSQL database performance study in which two of the most popular NoSQL database management systems (MongoDB and Apache Cassandra) are compared, and the analyzed metric is throughput. Results show that Apache Cassandra outperformes MongoDB in an update heavy scenario only when the number of operations is high. Also, for a read intensive scenario, Apache Cassandra outperformes MongoDB only when both number of operations and degree of parallelism are high.

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NoSQL Database Performance Benchmarking - A Case Study

Studia Universitatis Babeș-Bolyai Informatica ◽

10.24193/subbi.2018.1.06 ◽

2018 ◽

Vol 63 (1) ◽

pp. 80-93

Author(s):

C.F. Andor ◽

◽

B. Parv ◽

Keyword(s):

Performance Benchmarking ◽

Database Performance ◽

Nosql Database

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Comparative Study Between the MySQL Relational Database and the MongoDB NoSQL Database

International Journal of Software Science and Computational Intelligence ◽

10.4018/ijssci.2021070104 ◽

2021 ◽

Vol 13 (3) ◽

pp. 38-63

Author(s):

Houcine Matallah ◽

Ghalem Belalem ◽

Karim Bouamrane

Keyword(s):

Social Networks ◽

Cloud Computing ◽

Comparative Study ◽

Electronic Commerce ◽

Relational Database ◽

Relational Databases ◽

Database Management System ◽

Nosql Databases ◽

Nosql Database ◽

Change Of Scale

NoSQL databases are new architectures developed to remedy the various weaknesses that have affected relational databases in highly distributed systems such as cloud computing, social networks, electronic commerce. Several companies loyal to traditional relational SQL databases for several decades seek to switch to the new “NoSQL” databases to meet the new requirements related to the change of scale in data volumetry, the load increases, the diversity of types of data handled, and geographic distribution. This paper develops a comparative study in which the authors will evaluate the performance of two databases very widespread in the field: MySQL as a relational database and MongoDB as a NoSQL database. To accomplish this confrontation, this research uses the Yahoo! Cloud Serving Benchmark (YCSB). This contribution is to provide some answers to choose the appropriate database management system for the type of data used and the type of processing performed on that data.

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