Abstract
This paper aims to establish a relative study between a relational Microsoft SQL Server database and a non-relational MongoDB database within the unstructured representation of data in JSON format. There is a great amount of work done regarding comparison of multiple database management applications on the basis of their performances, security etc., but we have limited information available where these databases are assessed on the basis of provided data. This study will mainly focus on looking at all the possibilities that both these database types offer us when handling data in JSON. We will accomplish this by implementing a series of experiments while taking into consideration that the subjected data does not require to be normalized; and therefore, evaluate the outcome to conclude the result.
Highlights
In today’s age, concurrent support for millions of users is an essential factor for the applications
This paper aims to establish a relative study between a relational Microsoft SQL Server database and a non-relational MongoDB database within the unstructured representation of data in JSON format
The RDBMS model features an inflexible schema which suggests that a “schema” should be designed before data is stored within, where all the specifications that define the characteristics of the schema, or the attributes, are uniform for all elements
Summary
In today’s age, concurrent support for millions of users is an essential factor for the applications. These applications are required to handle the massive amount of data. The RDBMS model features an inflexible schema which suggests that a “schema” should be designed before data is stored within, where all the specifications that define the characteristics of the schema, or the attributes, are uniform for all elements. They should allow for missing values to replace null values.
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