Choosing the Right Distributed Database to Achieve the Best Performance in Management of Big Data

Selecting the appropriate database according to the requirements of each program is always a concern for developers. There are different types of databases among which the relational database is the most famous one. With the increasing use of the Internet, which led to the rapid growth of data and new requirements in the area of Big Data, this type of databases had a bad practice in the management of unstructured and large data. With such features to manage data, key-value, Document Oriented, Wide Column and graph-based databases are provided. Each of these Databases provides solutions with a specific approach. Multi-modal databases provided multiple approaches to these features that the solutions are able to support multiple requirements. In this paper, at first, emphasizing on the relational model and giving an example, along with describing the structure and features of a variety of NoSQL databases, we offer relevant examples with respect to each of these models. Then, we introduce a common database of any kinds of several banks to compare the structure and feature of each choice and evaluate their performance. The main criteria for comparing are the speed storage and retrieval of information, and in presenting the results of the evaluation criteria of the approach, it has been tried to test and evaluate different needs. The target of this article is not to provide a superior example of NoSQL databases, but to offer high suitable NoSQL database in various applications based on defined needs.