A comparative analysis of non-relational databases in e-commerce applications
Kacper Saweczko
kacper.saweczko@pollub.edu.plLublin University of Technology (Poland)
Grzegorz Rożek
Lublin University of Technology (Poland)
Małgorzata Plechawska-Wójcik
(Poland)
Abstract
In this article, a comparative analysis of non-relational databases was conducted to determine the best database for e-commerce systems. Non-relational systems such as MongoDB and Apache Cassandra were used for the study and the results were compared with a relational PostgreSQL database. The main research criterion was performance testing of several types of queries based on execution time. To implement the research, typical e-commerce databases were created and then tested in a .NET test application created by authors. In addition, the difference in community support between non-relational and relational systems was determined. The research showed that MongoDB is best suited for e-commerce systems.
Keywords:
non-relational database, MongoDB, Cassandra, e-commerceReferences
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Authors
Grzegorz RożekLublin University of Technology Poland
Authors
Małgorzata Plechawska-WójcikPoland
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