A Quantitative Performance Analysis between Mongodb and Oracle NoSQL

NoSQL, referred to “Not only SQL”, is trending as a great competitor to Relational Database with its capacity to handle unstructured and semi structured data better than traditional RDBMS. Relational Database management system stores data in tabular format in the form of tables i.e. rows and columns, Alternatively, NoSQL is a schema less database which stores data in key-value format. NoSQL databases are used to store unstructured and semi structured data such as unstructured data is users session, log data, messaging, videos, audios, images, which are growing rapidly than structured data, which doesn’t fit in traditional relational databases. NoSQL database is primarily designed to provide more flexibility, speed and scalability. This paper focuses on two prominent NoSQL databases i.e. mongo DB and Oracle NoSQL and have compared the time analysis based on the insert, delete and update operations on data in each database for same datasets. The criteria for comparison includes basic data model, characteristics & database performance on same type of datasets.