An Evaluation and Comparative study of massive RDF Data management approaches based on Big Data Technologies

Today, many researches are focused on the use of Big Data technologies for managing large volumes of Semantic Web data. The use of Big Data technologies such as NoSQL database management systems guarantees the scalability and high availability of Web data. The amount of data Web increases day after day and in a way excessive. To fully exploit these data and its metadata. This requires this technology of the Semantic Web to be a scalable and high performance at the level of the storage of these Web data. Many research efforts have been devoted to create and develop a distributed RDF data management system. To achieve the scalability and high performance, these systems are implemented on the basis of the Management technology of Big Data called NoSQL. In this paper, we present a comparative study of existing systems dedicated to managing large volumes of RDF data, which are generally based on NoSQL database management systems.