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English Information

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Authors
# Name
1 Andre Merlo(andre.merlo@aluno.cefet-rj.br)
2 Jorge Pavão(jorge.pavao@aluno.cefet-rj.br)
3 Luiz Freitas(luiz.freitas.2@aluno.cefet-rj.br)
4 Jorge Soares(jorge.soares@cefet-rj.br)
5 Diego Brandão(diego.brandao@cefet-rj.br)
6 Kele Belloze(kele.belloze@cefet-rj.br)

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Reference
# Reference
1 Costa, M. et al. (2022). Database encryption performance impact on postgresql and mongodb. In Marketing and Smart Technologies: Proceedings of ICMarkTech 2021, Volume 1, pages 121–127. Springer.
2 Figueiredo, D. et al. (2022). Performance evaluation between harperdb, mongo db and postgresql. In International Conference on Marketing and Technologies, pages 85–94. Springer.
3 Filip, P. and Cegan, L. (2020). Comparison of mysql and mongodb with focus on performance. In 2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), pages 184–187. IEEE.
4 Gyrodi, C. et al. (2015). A comparative study: Mongodb vs. mysql. In 13th InternationalConference on Engineering of Modern Electric Systems (EMES), pages 1–6.
5 Kanade, A. et al. (2014). A study of normalization and embedding in mongodb. In 2014 IEEE International Advance Computing Conference (IACC), pages 416–421.
6 Khan, W. et al. (2023). Sql and nosql database software architecture performance analysis and assessments-a systematic literature review. Big Data and Cognitive Computing.
7 Llano-R´ıos, T. F. et al. (2020). Evaluating nosql systems for decision support: An experimental approach. In IEEE International Conference on Big Data (Big Data), pages 2802–2811.
8 Makris, A. et al. (2021). Mongodb vs postgresql: A comparative study on performance aspects. GeoInformatica, 25:243–268.
9 TPC (2022). Tpc benchmarktm h (decision support) standard specification revision 3.0.1. Acesso em: 27 de julho de 2024.
10 Zhao, G. et al. (2013). Modeling mongodb with relational model. In 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, pages 115–121.