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Performance Analysis of NoSQL Databases

by Prateek Nepaliya, Prateek Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 12
Year of Publication: 2015
Authors: Prateek Nepaliya, Prateek Gupta
10.5120/ijca2015906564

Prateek Nepaliya, Prateek Gupta . Performance Analysis of NoSQL Databases. International Journal of Computer Applications. 127, 12 ( October 2015), 36-39. DOI=10.5120/ijca2015906564

@article{ 10.5120/ijca2015906564,
author = { Prateek Nepaliya, Prateek Gupta },
title = { Performance Analysis of NoSQL Databases },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 12 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number12/22783-2015906564/ },
doi = { 10.5120/ijca2015906564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:19:44.577033+05:30
%A Prateek Nepaliya
%A Prateek Gupta
%T Performance Analysis of NoSQL Databases
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 12
%P 36-39
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

From couple of years working on big data is a challenge. Currently there are lot of document oriented tools, we have to choose best tool from them, and so they are need to be compared. We compared CouchDB, and RavenDB to know which one of them is good. NoSQL derived from relational database, information can be retrieved fast and is portable database. RDBMS is not flexible enough to handle the variety of data. Couch dB is also considered in web world. RavenDB is a transactional, open-source Document Database written in .NET, and offering a flexible data model designed to address requirements coming from real-world systems. Using RDBMSs for Big Data is prohibitively expensive. Each one of these database has advantages and limitation hence, If a query is executed enough times, those indices are promoted to be permanent (auto-generated) indices. Even a simple query requires significant programming expertise, and commonly used BI tools do not provide connectivity to NoSQL. Databases are analyzed on the basis of their time complexities and space and finally in the end we found out of which one has real ability to get used in different situation. And also which is more efficient.

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Index Terms

Computer Science
Information Sciences

Keywords

NOSQL CouchDB RavenDB RDMS Map reduce Document Databases.

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