Performance Comparison Analysis of ArangoDB, MySQL, and Neo4j: An Experimental Study of Querying Connected Data

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dc.contributor.authorSandell, Johan
dc.contributor.authorAsplund, Einar
dc.contributor.authorAyele, Workneh Yilma
dc.contributor.authorDuneld, Martin
dc.date.accessioned2023-12-26T18:55:32Z
dc.date.available2023-12-26T18:55:32Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.930
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other0d07101f-1f6b-4c60-90ed-0248b50224de
dc.identifier.urihttps://hdl.handle.net/10125/107319
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSoftware Technology and Software Development
dc.subjectbenchmark.
dc.subjectconnected data
dc.subjectenergy usage
dc.subjectgraph data
dc.subjectperformance
dc.subjectperformance of database tools
dc.titlePerformance Comparison Analysis of ArangoDB, MySQL, and Neo4j: An Experimental Study of Querying Connected Data
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractChoosing and developing performant database solutions helps organizations optimize their operational practices and decision-making. Since graph data is becoming more common, it is crucial to develop and use them in big data with complex relationships with high and consistent performance. However, legacy database technologies such as MySQL are tailored to store relational databases and need to perform more complex queries to retrieve graph data. Previous research has dealt with performance aspects such as CPU and memory usage. In contrast, energy usage and temperature of the servers are lacking. Thus, this paper evaluates and compares state-of-the-art graphs and relational databases from the performance aspects to allow a more informed selection of technologies. Graph-based big data applications benefit from informed selection database technologies for data retrieval and analytics problems. The results show that Neo4j performs faster in querying connected data than MySQL and ArangoDB, and energy, CPU, and memory usage performances are reported in this paper.
dcterms.extent10 pages
prism.startingpage7760

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