A fuzzy database engine for mongoDB

Big Data are a paradigm through which valuable information is achieved the analysis of large amount data. The sources these data can be varied, from streams that will processed in real time, to exploitation transactional stored databases. For this last use, due their scalability, NoSQL databases, like mongoDB, DBMS oriented documents, have been consolidated as powerful tool for storage and processing volumes On other hand, algorithms contain imprecise information, way obtain, aggregate present results an nature well. reason, it useful provide fuzzy extensions DBMSs. In case MongoDB, there few proposals not very complete. This paper describes fzMongoDB, database engine provides mongoDB with capacity store documents retrieve them flexible way. It implemented integrated on server using resources provides. model implementation fzMongoDB also includes indexing mechanism accelerates retrieval process queries. Also, performance mechanisms evaluated.