|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 71 |
| Published: January 2026 |
| Authors: Khushi R. Shah, Payal D. Joshi |
10.5120/ijca2026926162
|
Khushi R. Shah, Payal D. Joshi . Comparative Performance Analysis of JAMstack and Monolithic Web Architectures. International Journal of Computer Applications. 187, 71 (January 2026), 51-61. DOI=10.5120/ijca2026926162
@article{ 10.5120/ijca2026926162,
author = { Khushi R. Shah,Payal D. Joshi },
title = { Comparative Performance Analysis of JAMstack and Monolithic Web Architectures },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 71 },
pages = { 51-61 },
doi = { 10.5120/ijca2026926162 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Khushi R. Shah
%A Payal D. Joshi
%T Comparative Performance Analysis of JAMstack and Monolithic Web Architectures%T
%J International Journal of Computer Applications
%V 187
%N 71
%P 51-61
%R 10.5120/ijca2026926162
%I Foundation of Computer Science (FCS), NY, USA
User experience and engagement are the most important factors in web development, as they greatly influence the speed and reliability of a website. In recent times, with the emergence of full-stack development, JAMstack architecture has gained importance. That said, it does not mean that monolithic architecture is less useful and should fail to be used at all. Both quantitative and qualitative analysis of the client-side performance of two web architectures, monolithic and JAMstack, help bridge the research gap in existing studies by providing A clear, data-driven comparison of their efficiency in handling dynamic content across varying volumes. It shows how performance metrics such as Time to Interactive (TTI), Time to First Byte (TTFB), and memory consumption are sensitive based on architectural characteristics. The monolithic architecture often suffers from slow initial load times, as it is heavily dependent on server-side processing, regardless of the data amount. JAMstack provides a swift supply of static assets using a CDN, where the performance of this architecture mainly depends on the amount of dynamic data being fetched and rendered from the client side. JAMstack is mostly used when we need to reuse the backend code in multiple frontend apps. It also investigates how the memory usage of each architecture differs across browser engines. More importantly, such information is capable of helping organizations make better decisions about their web infrastructure that suit their specific project objectives.