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Journal of Computer Sciences Institute
Article . 2025 . Peer-reviewed
License: CC BY
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Comparison of data processing efficiency in Java and Scala

Authors: Bartosz Markiewicz; Krzysztof Matyjaszczyk; Marek Miłosz;

Comparison of data processing efficiency in Java and Scala

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.

Keywords

Scala, efficiency, Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64, Java, data processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal