Performance analysis of working with databases with Spring and Symfony

Ewa Wieleba; Bartłomiej Wieleba

doi:10.35784/jcsi.3086

Performance analysis of working with databases with Spring and Symfony

Ewa Wieleba

ewa.szewczak@pollub.edu.pl
Lublin University of Technology (Poland)

Bartłomiej Wieleba

Lublin University of Technology (Poland)

DOI: https://doi.org/10.35784/jcsi.3086

Abstract

The article presents a comparative analysis of the efficiency of work with MySQL and PostgreSQL databases, using the popular Spring (Java) and Symfony programming frameworks. The research was carried out with the use of proprietary test applications that perform CRUD operations on a different number of records. The test results showed that the execution time of writing and deleting data using the Spring application is longer than when performing the same operations in Symfony. On the other hand, in the case of UPDATE and SELECT operations, the operation execution time with the Spring application turned out to be shorter than in the case of Symfony. The test results also confirmed that, regardless of the development framework, MySQL is less efficient than PostgreSQL while operating on 10 000 records except for DELETE, where MySQL combined with Symfony is the fastest.

Keywords:

comparative analysis; Spring, Symfony, relational databases

References

P. Rymarski, G. Kozieł, Analiza możliwości optymalizacji zapytań SQL, Journal of Computer Sciences Institute 19 (2021) 151–158.
DOI: https://doi.org/10.35784/jcsi.2641 Google Scholar

K. Lachewicz, Analiza wydajności systemów bazodanowych: MySQL, MS SQL, PostgreSQL w kontekście aplikacji internetowych, Journal of Computer Sciences Institute 14 (2020) 94–100.
DOI: https://doi.org/10.35784/jcsi.1583 Google Scholar

R. Wodyk, M. Skublewska-Paszkowska, Porównanie wydajności relacyjnych baz danych SQL Server, MySQL oraz PostgreSQL z zastosowaniem aplikacji webowej i frameworku Laravel, Journal of Computer Sciences Institute 17 (2020) 358–364.
DOI: https://doi.org/10.35784/jcsi.2279 Google Scholar

M. Laaziri, K. Benmoussa, S. Khoulji, K. M. Larbi, A. E. Yamami, A comparative study of laravel and symfony PHP frameworks, International Journal of Electrical and Computer Engineering 9 (2019) 704-712.
DOI: https://doi.org/10.11591/ijece.v9i1.pp704-712 Google Scholar

S. Andjelic, S. Obradovic, B. Gacesa, A performance analysis of the dbms – mysql vs postgresql, Komunikacie 10 (2008) 53-57.
DOI: https://doi.org/10.26552/com.C.2008.4.53-57 Google Scholar

R. Kleweka, W. Truskowski, M. Skublewska-Paszkowska, Porównanie wydajności baz danych MySQL, MSSQL, PostgreSQL oraz Oracle z uwzględnieniem wirtualizacji, Journal of Computer Sciences Institute 16 (2020) 279–284.
DOI: https://doi.org/10.35784/jcsi.2026 Google Scholar

S. Stets, G. Kozieł, Comparative analysis of databases working under the control of Windows system, Journal of Computer Sciences Institute 13 (2019) 298–301.
DOI: https://doi.org/10.35784/jcsi.1323 Google Scholar

S.T Ali, J. Long, Quality Evaluation of PHP Frameworks, International Journal of Scientific & Engineering Research 10 (2019) 1454-1458.
DOI: https://doi.org/10.14299/ijser.2019.10.05 Google Scholar

N. Prokofyeva, V. Boltunova, Analysis and Practical Application of PHP Frameworks in Development of Web Information Systems, Procedia Computer Science 104 (2017) 51 – 56.
DOI: https://doi.org/10.1016/j.procs.2017.01.059 Google Scholar

Baza danych PostgreSQL, https://vavatech.pl/technologie/bazy-danych/postgresql, [06.06.2022].
Google Scholar

Dokumentacja SpringBoot, https://spring.io/projects/spring-boot , [07.06.2022].
Google Scholar

Dokumentacja Symfony, https://symfony.com/doc/current/index.html, [15.09.2022].
Google Scholar

Dokumentacja PostgreSQL, https://www.postgresql.org/docs/, [15.09.2022].
Google Scholar

Najpopularniejsze szkielety programistyczne do tworzenia aplikacji przy użyciu języka PHP w 2022 roku, https://www.linkedin.com/pulse/2022-most-popular-php-frameworks-infogenlabsinc/, [15.09.2022].
Google Scholar

Najpopularniejsze szkielety programistyczne do tworzenia aplikacji przy użyciu języka Java, https://www.geeksforgeeks.org/top-10-most-popular-java-frameworks-for-web-development/, [15.09.2022].
Google Scholar

Ranking popularności silników baz danych, https://db-engines.com/en/ranking, [12.10.2022].
Google Scholar

Dokumentacja szkieletu programistycznego Hibernate, https://hibernate.org/orm/documentation/6.1/, [12.10.2022].
Google Scholar

Dokumentacja biblioteki PHP Doctrine, https://symfony.com/doc/current/doctrine.html, [12.10.2022].
Google Scholar

Dokumentacja silnika baz danych MySQL, https://dev.mysql.com/doc/, [12.10.2022].
Google Scholar

Download

Published

2023-03-30

Cited by

Wieleba, E., & Wieleba, B. (2023). Performance analysis of working with databases with Spring and Symfony. Journal of Computer Sciences Institute, 26, 75–82. https://doi.org/10.35784/jcsi.3086

Authors

Ewa Wieleba
ewa.szewczak@pollub.edu.pl
Lublin University of Technology Poland

Authors

Bartłomiej Wieleba

Lublin University of Technology Poland

Statistics

Abstract views: 311
PDF downloads: 273

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Performance analysis of working with databases with Spring and Symfony

Ewa Wieleba

Bartłomiej Wieleba

Abstract

Keywords:

References

Authors

Authors

Statistics

License

CURRENT ISSUE

Make a Submission

Lublin University of Technology Publishing House

Copyright