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Comparative Analysis of NoSQL Databases - New Generation of Data Storage Model


Kalgi Gandhi , Information and Library Network Centre; Abhishek Kumar, Information and Library Network Centre




Database is an organized collection of data on which (business) decisions are made. The concept of database came into existence in the era of 1960s. Flat file databases were the very first database management systems not usually accessed like this since they belong with offline entities and form the machinery of operating systems and local devices. Also, there are no transactions in a flat file database, so it is limited in what it can actually do as a database entity. So a flat file database is disadvantageous to a network user, who is accessing a multi-access, multi-tasking relational online database which can be viewed from many different aspects. RDBMS the another generation are widely used in most of applications, these supports tabular structure for the data e.g. MS SQL Server, Oracle, MYSQL etc. But these handle limited set of data i.e. it isn't scalable, so for handling real time huge volume of data like internet was not more efficient for RDBMS. It is also difficult to create redundancy and parallelism with RDBMS, so they become single point of failure. To overcome these problems new generation of data storage models i.e. NoSQL Databases came into existence, these are faster and better than RDBMS. The paper covers the background, axiomatics, taxonomy, applications, pros and cons of the NoSQL databases.

Other Details

Paper ID: IJSRDV5I41345
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 1109-1114

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