Revisão sistemática sobre a camada de acesso em banco de dados poliglotas
Resumo
Banco de dados poliglotas, ou polystores, nasceram com o objetivo de atender às necessidades impostas pelo Big Data para gerenciar múltiplos bancos e integrar as consultas de diversos modelos de dados. Dentro dos tipos de polystores, os de camadas de acesso são os responsáveis decompor consultas, otimizar, traduzir para as linguagens dos sistemas e integrar os resultados. Este trabalho, então, apresenta uma revisão sistemática da literatura sobre as soluções de camadas de acesso publicadas na última década (2015–2025). A partir de conjunto de critérios de seleção, foram elencados seis trabalhos e os resultados mostram que que a maior parte suporta os principais modelos de dados NoSQL, assim como o modelo relacional. As linguagens de consulta aceitas são em sua maioria SQL-Like e quase todos utilizam esquemas.
Referências
Alotaibi, R., Bursztyn, D., Deutsch, A., Manolescu, I., and Zampetakis, S. (2019). Towards scalable hybrid stores: Constraint-based rewriting to the rescue. In Proceedings of the 2019 International Conference on Management of Data, pages 1660–1677. ACM.
Araujo, L., Silva, H., and Mello, R. (2025). Uma revisão sistemática simplificada e análise de estudos sobre evolução de esquemas em aplicações de persistência poliglota. In Anais da XX ERBD, pages 20–29, Porto Alegre, RS, Brasil. SBC.
Basciani, F., Di Rocco, J., Di Ruscio, D., Pierantonio, A., and Iovino, L. (2016). TyphonML: a modeling environment to develop hybrid polystores. In Proceedings of the 23rd ACM/IEEE MODELS, pages 1–5. ACM.
DB-Engines (2026). Database ranking by category. Acessado em: 12 fev. 2026.
Duggan, J., Elmore, A. J., Stonebraker, M., Balazinska, M., Howe, B., Kepner, J., Madden, S., Maier, D., Mattson, T., and Zdonik, S. (2015). The BigDAWG polystore system. ACM SIGMOD Record, 44(2):11–16.
Karimov, J., Rabl, T., and Markl, V. (2019). PolyBench: The first benchmark for polystores. In Nambiar, R. and Poess, M., editors, Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, volume 11135, pages 24–41. Springer International Publishing. Series Title: Lecture Notes in Computer Science.
Kolev, B., Bondiombouy, C., Valduriez, P., Jimenez-Peris, R., Pau, R., and Pereira, J. (2016). The CloudMdsQL multistore system. In Proceedings of the 2016 International Conference on Management of Data, pages 2113–2116. ACM.
Koupil, P. and Holubová, I. (2022). A unified representation and transformation of multi-model data using category theory. Journal of Big Data, 9(1):61.
Li, C. and Gu, J. (2019). An integration approach of hybrid databases based on SQL in cloud computing environment. Software: Practice and Experience, 49(3):401–422.
Podkorytov, M. and Gubanov, M. (2019). Hybrid.poly: A consolidated interactive analytical polystore system. In 2019 IEEE 35th International Conference on Data Engineering (ICDE), pages 1996–1999. IEEE.
Sadalage, P. J. and Fowler, M. (2013). NoSQL distilled: a brief guide to the emerging world of polyglot persistence. Always learning. Addison-Wesley.
Sheth, A. P. and Larson, J. A. (1990). Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Comput. Surv., 22(3):183–236.
Silva, H. A. B. d., Bornia, L. G., and Mello, R. d. S. (2024). Um estudo sobre modelagem poliglota de dados. In Escola Regional de Banco de Dados (ERBD), pages 11–20. SBC.
Stonebraker, M. and Cetintemel, U. (2005). ”one size fits all”: an idea whose time has come and gone. In 21st International Conference on Data Engineering (ICDE’05), pages 2–11.
Vogt, M., Stiemer, A., and Schuldt, H. (2018). Polypheny-DB: Towards a distributed and self-adaptive polystore. In 2018 IEEE International Conference on Big Data (Big Data), pages 3364–3373. IEEE.
Wang, X., Wang, J., Wang, T., and Zhang, Y. (2025). Accio: Bolt-on query federation. Proceedings of the VLDB Endowment, 18(7):2126–2135.
Yu, X., Gadepally, V., Zdonik, S., Kraska, T., and Stonebraker, M. (2019). FastDAWG: Improving data migration in the BigDAWG polystore system. In Heterogeneous Data Management, Polystores, and Analytics for Healthcare, volume 11470, pages 3–15. Springer International Publishing. Series Title: Lecture Notes in Computer Science.
Araujo, L., Silva, H., and Mello, R. (2025). Uma revisão sistemática simplificada e análise de estudos sobre evolução de esquemas em aplicações de persistência poliglota. In Anais da XX ERBD, pages 20–29, Porto Alegre, RS, Brasil. SBC.
Basciani, F., Di Rocco, J., Di Ruscio, D., Pierantonio, A., and Iovino, L. (2016). TyphonML: a modeling environment to develop hybrid polystores. In Proceedings of the 23rd ACM/IEEE MODELS, pages 1–5. ACM.
DB-Engines (2026). Database ranking by category. Acessado em: 12 fev. 2026.
Duggan, J., Elmore, A. J., Stonebraker, M., Balazinska, M., Howe, B., Kepner, J., Madden, S., Maier, D., Mattson, T., and Zdonik, S. (2015). The BigDAWG polystore system. ACM SIGMOD Record, 44(2):11–16.
Karimov, J., Rabl, T., and Markl, V. (2019). PolyBench: The first benchmark for polystores. In Nambiar, R. and Poess, M., editors, Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, volume 11135, pages 24–41. Springer International Publishing. Series Title: Lecture Notes in Computer Science.
Kolev, B., Bondiombouy, C., Valduriez, P., Jimenez-Peris, R., Pau, R., and Pereira, J. (2016). The CloudMdsQL multistore system. In Proceedings of the 2016 International Conference on Management of Data, pages 2113–2116. ACM.
Koupil, P. and Holubová, I. (2022). A unified representation and transformation of multi-model data using category theory. Journal of Big Data, 9(1):61.
Li, C. and Gu, J. (2019). An integration approach of hybrid databases based on SQL in cloud computing environment. Software: Practice and Experience, 49(3):401–422.
Podkorytov, M. and Gubanov, M. (2019). Hybrid.poly: A consolidated interactive analytical polystore system. In 2019 IEEE 35th International Conference on Data Engineering (ICDE), pages 1996–1999. IEEE.
Sadalage, P. J. and Fowler, M. (2013). NoSQL distilled: a brief guide to the emerging world of polyglot persistence. Always learning. Addison-Wesley.
Sheth, A. P. and Larson, J. A. (1990). Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Comput. Surv., 22(3):183–236.
Silva, H. A. B. d., Bornia, L. G., and Mello, R. d. S. (2024). Um estudo sobre modelagem poliglota de dados. In Escola Regional de Banco de Dados (ERBD), pages 11–20. SBC.
Stonebraker, M. and Cetintemel, U. (2005). ”one size fits all”: an idea whose time has come and gone. In 21st International Conference on Data Engineering (ICDE’05), pages 2–11.
Vogt, M., Stiemer, A., and Schuldt, H. (2018). Polypheny-DB: Towards a distributed and self-adaptive polystore. In 2018 IEEE International Conference on Big Data (Big Data), pages 3364–3373. IEEE.
Wang, X., Wang, J., Wang, T., and Zhang, Y. (2025). Accio: Bolt-on query federation. Proceedings of the VLDB Endowment, 18(7):2126–2135.
Yu, X., Gadepally, V., Zdonik, S., Kraska, T., and Stonebraker, M. (2019). FastDAWG: Improving data migration in the BigDAWG polystore system. In Heterogeneous Data Management, Polystores, and Analytics for Healthcare, volume 11470, pages 3–15. Springer International Publishing. Series Title: Lecture Notes in Computer Science.
Publicado
22/04/2026
Como Citar
HARTMANN, Ana Paula; DUARTE, Denio; SCHREINER, Geomar André.
Revisão sistemática sobre a camada de acesso em banco de dados poliglotas. In: ESCOLA REGIONAL DE BANCO DE DADOS (ERBD), 21. , 2026, Dois Vizinhos/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 59-68.
ISSN 2595-413X.
DOI: https://doi.org/10.5753/erbd.2026.21045.
