Consistency Models of NoSQL Databases

Detalhes bibliográficos
Autor(a) principal: Diogo, Miguel
Data de Publicação: 2019
Outros Autores: Cabral, Bruno, Bernardino, Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106995
https://doi.org/10.3390/fi11020043
Resumo: Internet has become so widespread that most popular websites are accessed by hundreds of millions of people on a daily basis. Monolithic architectures, which were frequently used in the past, were mostly composed of traditional relational database management systems, but quickly have become incapable of sustaining high data traffic very common these days. Meanwhile, NoSQL databases have emerged to provide some missing properties in relational databases like the schema-less design, horizontal scaling, and eventual consistency. This paper analyzes and compares the consistency model implementation on five popular NoSQL databases: Redis, Cassandra, MongoDB, Neo4j, and OrientDB. All of which offer at least eventual consistency, and some have the option of supporting strong consistency. However, imposing strong consistency will result in less availability when subject to network partition events.
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spelling Consistency Models of NoSQL Databasesconsistency modelsNoSQL databasesrediscassandraMongoDBNeo4jOrientDBInternet has become so widespread that most popular websites are accessed by hundreds of millions of people on a daily basis. Monolithic architectures, which were frequently used in the past, were mostly composed of traditional relational database management systems, but quickly have become incapable of sustaining high data traffic very common these days. Meanwhile, NoSQL databases have emerged to provide some missing properties in relational databases like the schema-less design, horizontal scaling, and eventual consistency. This paper analyzes and compares the consistency model implementation on five popular NoSQL databases: Redis, Cassandra, MongoDB, Neo4j, and OrientDB. All of which offer at least eventual consistency, and some have the option of supporting strong consistency. However, imposing strong consistency will result in less availability when subject to network partition events.MDPI2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106995http://hdl.handle.net/10316/106995https://doi.org/10.3390/fi11020043eng1999-5903Diogo, MiguelCabral, BrunoBernardino, Jorgeinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-08T11:08:28Zoai:estudogeral.uc.pt:10316/106995Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:22.662786Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Consistency Models of NoSQL Databases
title Consistency Models of NoSQL Databases
spellingShingle Consistency Models of NoSQL Databases
Diogo, Miguel
consistency models
NoSQL databases
redis
cassandra
MongoDB
Neo4j
OrientDB
title_short Consistency Models of NoSQL Databases
title_full Consistency Models of NoSQL Databases
title_fullStr Consistency Models of NoSQL Databases
title_full_unstemmed Consistency Models of NoSQL Databases
title_sort Consistency Models of NoSQL Databases
author Diogo, Miguel
author_facet Diogo, Miguel
Cabral, Bruno
Bernardino, Jorge
author_role author
author2 Cabral, Bruno
Bernardino, Jorge
author2_role author
author
dc.contributor.author.fl_str_mv Diogo, Miguel
Cabral, Bruno
Bernardino, Jorge
dc.subject.por.fl_str_mv consistency models
NoSQL databases
redis
cassandra
MongoDB
Neo4j
OrientDB
topic consistency models
NoSQL databases
redis
cassandra
MongoDB
Neo4j
OrientDB
description Internet has become so widespread that most popular websites are accessed by hundreds of millions of people on a daily basis. Monolithic architectures, which were frequently used in the past, were mostly composed of traditional relational database management systems, but quickly have become incapable of sustaining high data traffic very common these days. Meanwhile, NoSQL databases have emerged to provide some missing properties in relational databases like the schema-less design, horizontal scaling, and eventual consistency. This paper analyzes and compares the consistency model implementation on five popular NoSQL databases: Redis, Cassandra, MongoDB, Neo4j, and OrientDB. All of which offer at least eventual consistency, and some have the option of supporting strong consistency. However, imposing strong consistency will result in less availability when subject to network partition events.
publishDate 2019
dc.date.none.fl_str_mv 2019
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/106995
http://hdl.handle.net/10316/106995
https://doi.org/10.3390/fi11020043
url http://hdl.handle.net/10316/106995
https://doi.org/10.3390/fi11020043
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