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The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform

by Silvana Greca, Anxhela Kosta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 35
Year of Publication: 2020
Authors: Silvana Greca, Anxhela Kosta
10.5120/ijca2020919748

Silvana Greca, Anxhela Kosta . The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform. International Journal of Computer Applications. 177, 35 ( Feb 2020), 9-13. DOI=10.5120/ijca2020919748

@article{ 10.5120/ijca2020919748,
author = { Silvana Greca, Anxhela Kosta },
title = { The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2020 },
volume = { 177 },
number = { 35 },
month = { Feb },
year = { 2020 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number35/31129-2020919748/ },
doi = { 10.5120/ijca2020919748 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:46.167280+05:30
%A Silvana Greca
%A Anxhela Kosta
%T The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 35
%P 9-13
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A massive amount of complex and huge digital data storing is caused due to the development of intelligent environments and cloud computing. Today the organizations are using Google Cloud platform to store and retrieve of all amount of their data at any time. Google offers database storage like:Cloud Datastore for NoSQL non-relational database and Cloud SQL for MySQL fully relational database. During years, enterprise organizations have accumulated growing stores of data, running analytics on that data to gain value from large information sets, and developing applications to manage data exclusively. Traditional SQL databases are used for storing and managing content of structured data, but with unstructured and complex data they have found it difficult. Based on this need, the purpose of this paper is to present a Cloud storage solution able to store huge amount of data, focused on the impact of performance and scalability for a use case on e-commerce. For this reason, we have compared MongoDB with MySQL on Google Cloud to find the best solution for our e-commerce use case.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Performance Scalability NoSQL Database MongoDB MySQL stock e-commerce

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