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.
CITATION STYLE
Malik, A., Burney, A., & Ahmed, F. (2020). A Comparative Study of Unstructured Data with SQL and NO-SQL Database Management Systems. Journal of Computer and Communications, 08(04), 59–71. https://doi.org/10.4236/jcc.2020.84005
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