Efficiency of databases in Django-based applications
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Published:
Jun 30, 2019
Issue Vol. 11 (2019)
Articles
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Efficiency of databases in Django-based applications
82-85
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Comparative analysis of web applications development using JEE and PHP
86-90
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Study on applying the Cucumber tool in testing applications
91-95
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Implementation of web applications supporting business management basing on companies in chosen geographic area
96-100
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Comparison of encryption algorithms performance on iOS platform
101-105
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The use of an electronic heart rate monitor and surround sound to interact with a user in VR
106-113
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Using Kinect controller for interacting with user in VR
114-118
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Analysis of the differences between frameworks of native applications and cross-platform
119-124
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Comparison of PHP applications development using the Yii2 and Laravel examples
125-130
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Methods for conducting unit tests in the C++14 standard using the GMOCK library
131-136
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Comparison of the performance of scripting and compiled languages based on the operation of the genetic algorithm
137-144
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Comparison of single-page application development using Ember and React example
145-148
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Comparative analysis of selected programming issues requiring inter-process and inter-thread communication
149-154
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Analysis of the possibilities of cooperation of mobile applications with network services of the type REST and Web Service
155-162
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Analysis and evaluation of the implementation of information security policy in selected Polish and Ukrainian IT companies
163-166
Main Article Content
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Abstract
Development of web applications consists of many processes. One of them is choosing appropriate database management system which may have huge impact on application performance. Large availability of database management systems makes it not an easy choice. The goal of this paper is to compare efficiency of databases in Django-based applications and three different database management systems:
MySQL, PostgreSQL and MongoDB.
Article Details
Nejman, B., & Pańczyk, B. (2019). Efficiency of databases in Django-based applications . Journal of Computer Sciences Institute, 11, 82–85. https://doi.org/10.35784/jcsi.142
