Comparison of MongoDB, Neo4j and ArangoDB databases using the developed data generator for NoSQL databases

• Autorzy: Zaniewicz Norbert , Salamończyk Andrzej

Identyfikatory

DOI

10.34739/si.2022.26.04

• Języki publikacji: EN

Abstrakty

EN

NoSQL databases are gaining more and more popularity and are an important alternative to relational databases. Examples of such databases are Neo4j, MongoDB and ArangoDB. These databases are described in this article, compared with each other, and the performance results for adding an object to the database, deleting an object, searching and populating the database are presented. Results show that the fastest database is MongoDB, except for one measurement of removal.

Słowa kluczowe

EN

NoSQL databases; Neo4j; MongoDB; ArangoDB

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2022
• Tom: Vol. 1(26)
• Strony: 61--72
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Zaniewicz Norbert

• Siedlce University of Natural Sciences and Humanities, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0002-9516-7529

autor

Salamończyk Andrzej

• Siedlce University of Natural Sciences and Humanities, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0003-1562-6762

Bibliografia

• 1. Barczak A., Zacharczuk D. and Korzeniecka A. (2019). The influence of indexing methods on effective functioning of the database. Studia Informatica. System and Information Technology, 17(1-2), 5-18.
• 2. Skaruz J. (2020). Database security: combining neural networks and classification approach. Studia Informatica. System and Information Technology, 23(1-2), 95-115. https://doi.org/10.34739/si.2019.23.06
• 3. Li Y. and Manoharan S., "A performance comparison of SQL and NoSQL databases,"2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), 2013, pp. 15-19, DOI: 10.1109/PACRIM.2013.6625441.
• 4. Martins P., Abbasi M., Sá F. "A Study over NoSQL Performance". In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-16181-1_57
• 5. Tang E. and Fan Y., "Performance Comparison between Five NoSQL Databases," 2016 7th International Conference on Cloud Computing and Big Data (CCBD), 2016, pp. 105-109, DOI: 10.1109/CCBD.2016.030.
• 6. Pereira D. A., Ourique de Morais W. and Pignaton de Freitas E. NoSQL real-time database performance comparison, International Journal of Parallel, Emergent and Distributed Systems, 33:2, 144-156, 2018, DOI: 10.1080/17445760.2017.1307367
• 7. Gupta A., Tyagi S., Panwar N., Sachdeva S. and Saxena U., "NoSQL databases: Criticalanalysis and comparison," 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN), 2017, pp. 293-299, DOI: 10.1109/IC3TSN.2017.8284494
• 8. Zaniewicz N., "Porównanie baz danych MongoDB, Neo4j i ArangoDB z wykorzystaniem opracowanego generatora danych do baz NoSQL", Master Thesis, Siedlce University of Natural Sciences and Humanities, 2019, (in Polish)