A Systematic Literature Review on Migrating Relational Databases to NoSQL Databases
Resumo
A crescente necessidade de gerenciar grandes volumes de dados heterogêneos tem impulsionado a adoção de bancos de dados NoSQL, que oferecem maior flexibilidade e escalabilidade em comparação com os tradicionais bancos de dados relacionais. No entanto, a migração de dados entre esses modelos ainda é um desafio, uma vez que a literatura carece de uma solução robusta. Este trabalho apresenta uma Revisão Sistemática da Literatura (RSL) sobre abordagens de migração de bancos de dados relacionais para bancos de dados NoSQL, assim como uma análise dos estudos selecionados. Os resultados apontam tendências e lacunas na literatura, evidenciando a necessidade de abordagens mais eficientes para apoiar a migração de dados relacionais para diferentes tecnologias NoSQL. Este trabalho contribui para a sistematização do conhecimento na área e oferece insights para pesquisas futuras.
Palavras-chave:
Migração, BD Relacional, BDs NoSQl, Carga de trabalho
Referências
Alami, A. E., Khourdifi, Y., Mouden, Z. A. E., Lahmer, M., and Hasnaoui, M. L. (2024). Migrating Relational Databases to NoSQL-Oriented Documents Using Object-Oriented Concepts. International Journal of Intelligent Engineering and Systems, 17(4):634–648.
de Lima, C. and Mello, R. S. (2016). On Proposing and Evaluating a NoSQL Document Database Logical Approach. Int. J. Web Inf. Syst., 12(4):398–417.
Eldrrat, H. and Maatuk, A. (2023a). Data Migration from Conventional Databases into NoSQL: Methods and Techniques. In III International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), pages 370–375. IEEE.
Eldrrat, H. A. and Maatuk, A. M. (2023b). A Novel Approach for Migrating Relational Databases into Graph Databases. In International Conference on Emerging Smart Technologies and Applications (eSmarTA). IEEE.
Hamouda, S. (2023). Seamless Transition: Migrating from Relational Databases to Document-Oriented Databases. In XII International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pages 883–888. IEEE.
Han, J., Kamber, M., and Pei, J. (2013). Data Mining: Concepts and Techniques. Morgan Kaufmann.
Karnitis, G. and Arnicans, G. (2015). Migration of Relational Database to Document-Oriented Database: Structure Denormalization and Data Transformation. In VII International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), pages 113–118. IEEE.
Kiehn, F., Schmidt, M., Glake, D., Panse, F., Wingerath, W., Wollmer, B., Poppinga, M., and Ritter, N. (2022). Polyglot Data Management: State of the Art & Open Challenges. Proc. VLDB Endow., 15(12):3750–3753.
Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele, UK, Keele University, 33(2004):1–26.
Kleppmann, M. (2016). Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O’Reilly.
Namdeo, B. and Suman, U. (2021). A Model for Relational to NoSQL database Migration: Snapshot-Live Stream Db Migration Model. In VII International Conference on Advanced Computing and Communication Systems (ICACCS), pages 199–2004. IEEE.
Sadalage, P. J. and Fowler, M. (2013). NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence. Pearson Education.
Shah, S. I. H., Peristeras, V., and Magnisalis, I. (2021). Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations. ACM J. Data Inf. Qual., 13(2):8:1–8:25.
Siregar, R. A. S. and Azizah, F. N. (2023). Migration From Relational Database to Column-Oriented NoSQL Database. In International Conference on Data and Software Engineering (ICoDSE), pages 174–179. IEEE.
Sun, Z. (2024). Big Data 4.0 = Meta4 (Big Data) = The Era of Big Intelligence. In VII International Conference on Software Engineering and Information Management (ICSIM), pages 14–22. ACM.
Tandya, W. and Azizah, F. N. (2023). Migration of Relational Database to NoSQL Document-Oriented Database. In International Conference on Data and Software Engineering (ICoDSE), pages 180–185. IEEE.
Wazlawick, R. S. (2009). Metodologia de Pesquisa em Ciência da Computação. Elsevier.
Yassine, F. and Awad, M. A. (2018). Migrating from SQL to NoSQL Database: Practices and Analysis. In International Conference on Innovations in Information Technology (IIT), pages 58–62. IEEE.
de Lima, C. and Mello, R. S. (2016). On Proposing and Evaluating a NoSQL Document Database Logical Approach. Int. J. Web Inf. Syst., 12(4):398–417.
Eldrrat, H. and Maatuk, A. (2023a). Data Migration from Conventional Databases into NoSQL: Methods and Techniques. In III International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), pages 370–375. IEEE.
Eldrrat, H. A. and Maatuk, A. M. (2023b). A Novel Approach for Migrating Relational Databases into Graph Databases. In International Conference on Emerging Smart Technologies and Applications (eSmarTA). IEEE.
Hamouda, S. (2023). Seamless Transition: Migrating from Relational Databases to Document-Oriented Databases. In XII International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pages 883–888. IEEE.
Han, J., Kamber, M., and Pei, J. (2013). Data Mining: Concepts and Techniques. Morgan Kaufmann.
Karnitis, G. and Arnicans, G. (2015). Migration of Relational Database to Document-Oriented Database: Structure Denormalization and Data Transformation. In VII International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), pages 113–118. IEEE.
Kiehn, F., Schmidt, M., Glake, D., Panse, F., Wingerath, W., Wollmer, B., Poppinga, M., and Ritter, N. (2022). Polyglot Data Management: State of the Art & Open Challenges. Proc. VLDB Endow., 15(12):3750–3753.
Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele, UK, Keele University, 33(2004):1–26.
Kleppmann, M. (2016). Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O’Reilly.
Namdeo, B. and Suman, U. (2021). A Model for Relational to NoSQL database Migration: Snapshot-Live Stream Db Migration Model. In VII International Conference on Advanced Computing and Communication Systems (ICACCS), pages 199–2004. IEEE.
Sadalage, P. J. and Fowler, M. (2013). NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence. Pearson Education.
Shah, S. I. H., Peristeras, V., and Magnisalis, I. (2021). Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations. ACM J. Data Inf. Qual., 13(2):8:1–8:25.
Siregar, R. A. S. and Azizah, F. N. (2023). Migration From Relational Database to Column-Oriented NoSQL Database. In International Conference on Data and Software Engineering (ICoDSE), pages 174–179. IEEE.
Sun, Z. (2024). Big Data 4.0 = Meta4 (Big Data) = The Era of Big Intelligence. In VII International Conference on Software Engineering and Information Management (ICSIM), pages 14–22. ACM.
Tandya, W. and Azizah, F. N. (2023). Migration of Relational Database to NoSQL Document-Oriented Database. In International Conference on Data and Software Engineering (ICoDSE), pages 180–185. IEEE.
Wazlawick, R. S. (2009). Metodologia de Pesquisa em Ciência da Computação. Elsevier.
Yassine, F. and Awad, M. A. (2018). Migrating from SQL to NoSQL Database: Practices and Analysis. In International Conference on Innovations in Information Technology (IIT), pages 58–62. IEEE.
Publicado
23/04/2025
Como Citar
GIDEÃO, Alberto da Silva; MELLO, Ronaldo dos Santos.
A Systematic Literature Review on Migrating Relational Databases to NoSQL Databases. In: ESCOLA REGIONAL DE BANCO DE DADOS (ERBD), 20. , 2025, Florianópolis/SC.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 11-19.
ISSN 2595-413X.
DOI: https://doi.org/10.5753/erbd.2025.7341.
