The impact of relational and non-relational databases on application performance
The purpose of this study was to assess the performance of two database systems, PostgreSQL (relational) and MongoDB (non-relational), in handling data and their impact on application performance. The evaluation was conducted through a series of performance tests including read, write, delete, updat...
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Published in | Journal of Computer Sciences Institute Vol. 35; pp. 184 - 190 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Lublin University of Technology
30.06.2025
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Subjects | |
Online Access | Get full text |
ISSN | 2544-0764 2544-0764 |
DOI | 10.35784/jcsi.7260 |
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Summary: | The purpose of this study was to assess the performance of two database systems, PostgreSQL (relational) and MongoDB (non-relational), in handling data and their impact on application performance. The evaluation was conducted through a series of performance tests including read, write, delete, update, and aggregation operations on small and large datasets. Key metrics such as task completion time, response times were used for comparisons. Based on the results obtained during the experiments, it is difficult to definitively conclude which database system performs better, as both systems demonstrated advantages in different scenarios depending on the specific use case. |
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ISSN: | 2544-0764 2544-0764 |
DOI: | 10.35784/jcsi.7260 |