Performance Analysis on Content Management Systems: A Case Study of Drupal and Joomla

Abstract

Nowadays, a company’s website plays an important role in its production and business. It helps promote the products, introduce the company profile and provide information on its activities. As not everybody in a company is an IT expert, a company needs easy-to-use software to help manage and control its website content with less technical knowledge. One of the best solutions for such is the use of Content Management Systems (CMSs). This study aimed at performing a comparative analysis of two most commonly used CMSs, drupal and joomla, based on certain parameters, stating their criteria and suggest which is best suitable for the specified functionalities. Two online shopping web applications were created with the same functionalities using Drupal and Joomla. Sampled users were employed to visit the sites and later filled an online questionaire to capture their view and GTmetrix was also used to analysis the technical aspect of the two web applications. The result of the analysis based on users perspectives shows that, in terms of E-commerce solutions such as online shopping, drupal is more modular ready platform and can easily configured for the needs with more powerful modules such as commerce kickstart, ubercart. Joomla tend to be more content publishing friendly platform and while it may be quicker to set up in the long run, it will be less featured without putting in an extra effort. The result of the technical analysis shows that in a site page with only textual information, drupal gives faster response and load on time since the page did not use any javascript file, so drupal is giving its best for the site having textual information.

Authors and Affiliations

Mutiat A. Ogunrinde Tolani H. Yoosuf

Keywords

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  • EP ID EP195892
  • DOI -
  • Views 75
  • Downloads 0

How To Cite

Mutiat A. Ogunrinde Tolani H. Yoosuf (2016). Performance Analysis on Content Management Systems: A Case Study of Drupal and Joomla. International Journal of Computational Engineering and Management IJCEM, 19(2), 5-11. https://europub.co.uk/articles/-A-195892