Performance analysis of REST API technologies using Spring and Express.js examples
Maciej Wicha
maciejwicha8@gmail.comDepartment of Computer Science, Lublin University of Technology (Poland)
https://orcid.org/0009-0008-1092-2339
Beata Pańczyk
Department of Computer Science, Lublin University of Technology (Poland)
https://orcid.org/0000-0001-8908-8501
Abstract
The purpose of this article is a comparative analysis of two technologies for building applications in REST architecture. A Java-based development framework - Spring, and a framework designed for JavaScript language and Node environment - Express.js were analyzed. The test application was designed and implemented in both studied technologies. Using the Apache JMeter tool, HTTP request processing times were measured by operating on simple text data. The experiment was based on 5 scenarios repeated for a different number of users in the range of 10 to 100, with a constant number of executed requests to the server. The analysis conducted showed that the application implemented in Express.js handles HTTP requests up to 249% more efficiently than its counterpart in Spring.
Keywords:
Spring, Express.js, REST API, performance benchmarkingReferences
Dokumentacja API - Meta for Developers, https://developers.facebook.com/docs/pages/publishing/, [18.06.2023].
Google Scholar
Dokumentacja API - Twitter for Developers, https://developer.twitter.com/en/docs/twitter-api/tweets/
Google Scholar
manage-tweets/api-reference/post-tweets, [18.06.2023].
Google Scholar
M. Grudniak, M. Dzieńkowski, REST API performance comparison of web applications based on JavaScript programming frameworks, Journal of Computer Sciences Institute, 19 (2021) 121-125, https://doi.org/10.35784/jcsi.2620.
DOI: https://doi.org/10.35784/jcsi.2620
Google Scholar
K. K. Dhall, A performance comparison of restful applications implemented in Spring Boot Java and MS.NET Core, Journal of Physics: Conference Series, 1933 (2021) 12-41, https://doi.org/10.1088/1742-6596/1933/1/012041.
DOI: https://doi.org/10.1088/1742-6596/1933/1/012041
Google Scholar
K. Kronis, M. Uhanova, Performance comparison of Java EE and ASP.NET Core Technologies for web API development, Applied Computer Systems 23 (2018) 37-44, https://doi.org/10.2478/acss-2018-0005.
DOI: https://doi.org/10.2478/acss-2018-0005
Google Scholar
K. Lei, Y. Ma, Z. Tan, Performance comparison and evaluation of Web Development Technologies in PHP, python, and node.js, 2014 IEEE 17th International Conference on Computational Science and Engineering, (2014) 661-668, https://doi.org/10.1109/cse.2014.142.
DOI: https://doi.org/10.1109/CSE.2014.142
Google Scholar
Stack Overflow Developer Survey 2023, https://survey.stackoverflow.co/2023#most-popular-technologies-webframe-prof, [26.06.2023].
Google Scholar
Spring - prostota i uniwersalność najpopularniejszego frameworku Java, https://boringowl.io/tag/spring, [26.06.2023].
Google Scholar
Stack Overflow Developer Survey 2022, https://survey.stackoverflow.co/2022#most-popular-technologies-webframe-prof, [26.06.2023].
Google Scholar
Express.js - MVC Framework Node.js, https://boringowl.io/tag/express-js, [19.06.2023].
Google Scholar
Stack Overflow Developer Survey 2018, https://insights.stackoverflow.com/survey/2018#most-popular-technologies, [26.06.2023].
Google Scholar
Stack Overflow Developer Survey 2020, https://insights.stackoverflow.com/survey/2020#technology-web-frameworks-professional-developers2, [26.06.2023].
Google Scholar
Stack Overflow Developer Survey 2021, https://insights.stackoverflow.com/survey/2021#most-popular-technologies-webframe-prof, [26.06.2023].
Google Scholar
Authors
Maciej Wichamaciejwicha8@gmail.com
Department of Computer Science, Lublin University of Technology Poland
https://orcid.org/0009-0008-1092-2339
Authors
Beata PańczykDepartment of Computer Science, Lublin University of Technology Poland
https://orcid.org/0000-0001-8908-8501
Statistics
Abstract views: 280PDF downloads: 268
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
