Consistency Models of NoSQL Databases

Miguel Diogo, Bruno Cabral and Jorge Bernardino
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Miguel Diogo: Department of Informatics Engineering, University of Coimbra, Coimbra 3030-290, Portugal
Bruno Cabral: Department of Informatics Engineering, University of Coimbra, Coimbra 3030-290, Portugal
Jorge Bernardino: Centre of Informatics and Systems of University of Coimbra (CISUC), Coimbra 3030-290, Portugal

Future Internet, 2019, vol. 11, issue 2, 1-19

Abstract: 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.

Keywords: consistency models; NoSQL databases; redis; cassandra; MongoDB; Neo4j; OrientDB (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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