A Comparison of SQL and NO-SQL Database Management Systems for Unstructured Data

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 13 (7):2086-2093 (2024)
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Abstract

The purpose of this work is to compare the ways in which relational databases—more especially, Microsoft SQL Server—and non-relational databases—MongoDB—handle unstructured data in JSON format. Although a lot of study has been done comparing different database management systems in terms of security, performance, and other aspects, little is known about how these databases are evaluated according to the type of data they handle. The main goal of this study is to examine the various features that relational and non-relational databases provide for handling JSON data. We will conduct a number of tests to do this, making sure that the relevant data doesn't need to be normalised. To draw a conclusion, the outcomes of these studies will thereafter be examined.

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