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English Information

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Authors
# Name
1 Hudson Silva(hudson.silva@ifpa.edu.br)
2 Ronaldo Mello(r.mello@ufsc.br)

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Reference
# Reference
1 Antas, J., Rocha Silva, R., and Bernardino, J. (2022). Assessment of sql and nosql systems to store and mine covid-19 data. Computers, 11(2):29.
2 Baker Effendi, S., van der Merwe, B., and Balke, W.-T. (2020). Suitability of graph database technology for the analysis of spatio-temporal data. Future Internet, 12(5):78.
3 Corovcák, M. and Koupil, P. (2025). SQL vs nosql: Six systems compared. In Mannion, M., Mannisto, T., and Maciaszek, L. A., editors, Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2025, Porto, Portugal, April 4-6, 2025, pages 41–53. SCITEPRESS.
4 Eisenhuth, P. and Jablonski, S. (2022). Knowledge-based recommendation for polyglot persistence. In CDMS@VLDB.
5 Ferreira, S., Mendonc¸a, J., Nogueira, B., Tiengo, W., and Andrade, E. (2025). Benchmar-king consistency levels of cloud-distributed nosql databases using ycsb. IEEE Access.
6 Gembalczyk, D., Schuhknecht, F. M., and Dittrich, J. (2017). An experimental analysis of different key-value stores and relational databases. In Datenbanksysteme f¨ur Business, Technologie und Web, pages 351–360. Gesellschaft f¨ur Informatik.
7 Hernandez, D., Hogan, A., Riveros, C., Rojas, C., and Zerega, E. (2016). Querying wikidata: Comparing sparql, relational and graph databases. In International Semantic Web Conference, pages 88–103. Springer.
8 Holubova, I., Contos, P., and Svoboda, M. (2021). Multi-model data modeling and representation: State of the art and research challenges. In Proceedings of the 25th International Database Engineering & Applications Symposium, pages 242–251.
9 Kim, B. et al. (2022). M2bench: A database benchmark for multi-model analytic workloads. Proceedings of the VLDB Endowment, 16(4):747–759.
10 Klein, J. et al. (2015). Application-specific evaluation of nosql databases. In 2015 IEEE International Congress on Big Data, pages 526–534. IEEE.
11 Kotiranta, P., Junkkari, M., and Nummenmaa, J. (2022). Performance of graph and relational databases in complex queries. Applied Sciences, 12(13):6490.
12 Leung, F. and Zhou, B. (2016). Performance evaluation of twitter datasets on sql and nosql dbms. In Web Intelligence, volume 14, pages 275–286. SAGE Publications
13 Maia, D. C. M. et al. (2017). Performance analysis on voluntary geographic information systems with document-based nosql database. In Developments and Advances in Intelligent Systems and Apps., pages 181–197. Springer.
14 Monteiro, J., Sá, F., and Bernardino, J. (2023). Experimental evaluation of graph databases: Janusgraph, nebula graph, neo4j, and tigergraph. Applied Sciences, 13(9):5770.
15 Roy-Hubara, N., Shoval, P., and Sturm, A. (2022). Selecting databases for polyglot persistence applications. Data & Knowledge Engineering, 137:102022.
16 Sadalage, P. J. and Fowler, M. (2013). NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence. Pearson Education.
17 Samanta, A. K. and Chaki, N. (2023). An enumerated analysis of nosql data models using statistical tools. Innovations in Systems and Software Engineering, 19(1):5–14.
18 Schaarschmidt, M., Gessert, F., and Ritter, N. (2015). Towards automated polyglot persistence. In Datenbanksysteme furr Business, Technologie und Web (BTW 2015), pages 73–82. Gesellschaft fur Informatik eV.
19 Silva, H., Bornia, L., and Mello, R. (2024). Um Estudo sobre Modelagem Poliglota de Dados. In Anais da XIX Escola Regional de Banco de Dados, pages 11–20. SBC.
20 Wazlawick, R. S. (2009). Metodologia de Pesquisa para Ciênncia da Computação, volume 2. Elsevier Rio de Janeiro.