An Introduction of NoSQL Databases Based on Their Categories and Application Industries

Author:

Chen Jeang-KuoORCID,Lee Wei-Zhe

Abstract

The popularization of big data makes the enterprise need to store more and more data. The data in the enterprise’s database must be accessed as fast as possible, but the Relational Database (RDB) has the speed limitation due to the join operation. Many enterprises have changed to use a NoSQL database, which can meet the requirement of fast data access. However, there are more than hundreds of NoSQL databases. It is important to select a suitable NoSQL database for a certain enterprise because this decision will affect the performance of the enterprise operations. In this paper, fifteen categories of NoSQL databases will be introduced to find out the characteristics of every category. Some principles and examples are proposed to choose an appropriate NoSQL database for different industries.

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Reference27 articles.

1. Database System: Concept, Design, and Implementation;Chen,2013

2. NoSQL Databaseshttp://nosql-database.org/

3. Establish the Cornerstone of Big Data: NoSQL Database Technique;Pi,2016

4. Challenge Big Data, How to Process Big Data in Facebook, Google, Amazon? Use NoSQL to Get 10 Billion Annual Hard Disk Data;Lu,2015

5. NoSQL for Mere Mortals;Sullivan,2015

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