Recent demands for storing and querying big data have revealed various shortcomings of traditional relational database systems. This, in turn, has led to the emergence of a new kind of complementary nonrelational data store, named as NoSQL. This survey mainly aims at elucidating the design decisions of NoSQL stores with regard to the four nonorthogonal design principles of distributed database systems: data model, consistency model, data partitioning, and the CAP theorem. For each principle, its available strategies and corresponding features, strengths, and drawbacks are explained. Furthermore, various implementations of each strategy are exemplified and crystallized through a collection of representative academic and industrial NoSQL technologies. Finally, we disclose some existing challenges in developing effective NoSQL stores, which need attention of the research community, application designers, and architects. c 2018 ACM.

Additional Metadata
Keywords ACID, CAP theorem, Consistency model, Data model, Elasticity, NoSQL, Partitioning, Replication
Persistent URL dx.doi.org/10.1145/3158661
Journal ACM Computing Surveys
Citation
Davoudian, A. (Ali), Chen, L. (Liu), & Liu, M. (2018). A survey on NoSQL stores. ACM Computing Surveys, 51(2). doi:10.1145/3158661