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PERFORMANCE EVALUATION OF MYSQL AND MANGODB DATABASES

Abstract

New requirements are arising in environments where we have higher volumes of data with high operation rates, agile development and cloud computing. In recent years, a growing number of companies have adopted various types of non- relational database, commonly referred to as NoSQL database. This reflects the growing interactivity of applications which are becoming more networked and social, driving more requests to the database where high-performance NoSQL database such as MongoDB  becomes  favorable.  This  paper  attempts  to  use NoSQL database to replace the  relational database. It mainly focuses on one of the boosting technology of NoSQL database i.e. MongoDB, and makes a comparison with MySQL and thus justifies why MongoDB is preferred over MySQL. Lastly, a method is proposed to integrate these two types of database by adding a middleware (Metadata) between application layer and database layer.

 

Index Terms-

                                       ACID, BASE,MySQL,MongoDB, Metadata, NoSQL,RDBMs

Author

Mr.T.RAJAN, S.DEEPIKA
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[1]       Hailing Zhang, Yang Wang,   Junhui Han, “ Middleware Design for Integrating Relational Database and NoSQL Based on Data DictionaryInternational Conference on Transportation ,Mechanical ,and Electrical Engineering(TMEE), 978-1-14577-1701,Dec 2011

 

[2]        Zhu   Wei-ping,   Li   Ming-xin,   Chen   Huan,   Using   MongoDB   to Implement  Textbook  Management  System  instead  of MySQL,IEEE,978-1-61284-486,2011

 

[3]        Bogdan  George  Tudorica,  Cristian  Bucur,  A  Comparison  between several NoSQL Databases with comments and notes”

 

[4]        Jing Han, Haihong E, Guan Le, Survey on NoSQL Database , IEEE

978-1-4577-0208-2,2011

 

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[6]         Neal Levitt, Will NoSQL Databases Live Up to Their Promise? IEEE

Computer Society, vol.43, no.2, pp.12-14, Feb.2010

 

[7]       Rabi Prasad Padhy, Manas Ranjan Patra, Suresh Chandra Satapathy, RDBMS to NoSQL: Reviewing Some Next-Generation Non-Relational Databases”, International Journal of Advance Engineering Sciences And Technologies, Vol. 11, Issue No. 1, 015-030,2011

 

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