The best category of NoSQL Database for a complete migration from relational Database
Abdelhak Erraji, Abderrahim Maizate, Mohamed Ouzzif
Abstract
Abdelhak Erraji, Abderrahim Maizate, Mohamed Ouzzif
Abstract
Currently, some companies need an effective system to manage their data, which continue to grow to the big sizes unbearable by relational databases. So the choice of NoSQL databases is needed as relevant solution to solve and overcome the problems and limitations experienced by the relational model such as storage capacity, response time, the backup of unstructured and semi-structured data, and the extraction of useful information. The goal of this paper is the comparative study between the different categories to storage of big data: key-value, column-store, and document-store and graph store. This comparative is based on whole of criteria for determine the best category to a full migration from relational database to NoSQL database.
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Currently, some companies need an effective system to manage their data, which continue to grow to the big sizes unbearable by relational databases. So the choice of NoSQL databases is needed as relevant solution to solve and overcome the problems and limitations experienced by the relational model such as storage capacity, response time, the backup of unstructured and semi-structured data, and the extraction of useful information. The goal of this paper is the comparative study between the different categories to storage of big data: key-value, column-store, and document-store and graph store. This comparative is based on whole of criteria for determine the best category to a full migration from relational database to NoSQL database.
Key concepts: NoSQL, Backup, Relational database, Semi-structured data, Database, Computer science, Database model, Relational model