Database Consistency Models

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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Database Consistency Models

Cited by 3 publications

References 38 publications

Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications

Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications

Striking the Balance: Comprehensive Insights into Data Consistency in NoSQL Realms

Consistency Models of NoSQL Databases

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