Comparison of data processing efficiency in Java and Scala

This article compares the efficiency of Java and Scala languages in data processing. Two web applications were created in these languages using the popular GraphQL interface and the H2 database. The research was conducted using test scenarios that included several data processing algorithms, varying numbers of users making requests to the application and different database sizes. Performance evaluation criteria such as data processing time, memory usage, and processor load were applied. The JMeter tool was used for the tests. The results show that the application written in Scala demonstrates higher efficiency.

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Publication Details

Journal
Journal of Computer Sciences Institute
Published
2025-06-30
DOI
https://doi.org/10.35784/jcsi.7048
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

Comparison of data processing efficiency in Java and Scala

Marek Miłosz, Bartosz Markiewicz, Krzysztof Matyjaszczyk
Journal of Computer Sciences Institute
Distributed and Parallel Computing Systems
article

Comparison of data processing efficiency in Java and Scala

Marek Miłosz, Bartosz Markiewicz, Krzysztof Matyjaszczyk
article en

Abstract

This article compares the efficiency of Java and Scala languages in data processing. Two web applications were created in these languages using the popular GraphQL interface and the H2 database. The research was conducted using test scenarios that included several data processing algorithms, varying numbers of users making requests to the application and different database sizes. Performance evaluation criteria such as data processing time, memory usage, and processor load were applied. The JMeter tool was used for the tests. The results show that the application written in Scala demonstrates higher efficiency.

Journal of Computer Sciences InstituteVol. 35
Lublin University of Technology (PL)
Openalex Percentile: Top 83%
Distributed and Parallel Computing Systems
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