Javascript runtime performance analysis: Node and Bun
Ahmod, Md Feroj (2023)
2023
Master's Programme in Computing Sciences
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2023-06-20
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202306136706
https://urn.fi/URN:NBN:fi:tuni-202306136706
Tiivistelmä
Online services are seeing a growing demand for various use-cases. Functionality of web applications are at a premium. With every new application, different functionality is being implemented with more and more complicated logic. While there are newer technologies invented for the sake of increasing the computing power, it has also been a necessity to support new inventions and improve on existing machines to create a smoother experience on using those applications.
Node.js, a JavaScript runtime, has been a reliable name in the technical industry. Node.js can generally satisfy the needs of online applications. However, its performance has been found to be uneven in applications that demand the highest levels of performance. There has been few attempts to out-weight the performance of Node.js and the most recent promising one is Bun.
The purpose of this thesis is to compare the performance of Node.js and Bun. The comparison is carried out with different use cases that includes memory usage, execution time, response time, and request throughput. In all cases, multiple sampling has been used to get a precise picture of the factors that affects the performance.
The outcome of the thesis shows that Bun is significantly faster compared to Node.js. However, the method of this thesis gives one sided view of the differences between Node.js and Bun. When considering the implementation of Bun, other factors such as security, compatibility and reliability should be taken into account.
Node.js, a JavaScript runtime, has been a reliable name in the technical industry. Node.js can generally satisfy the needs of online applications. However, its performance has been found to be uneven in applications that demand the highest levels of performance. There has been few attempts to out-weight the performance of Node.js and the most recent promising one is Bun.
The purpose of this thesis is to compare the performance of Node.js and Bun. The comparison is carried out with different use cases that includes memory usage, execution time, response time, and request throughput. In all cases, multiple sampling has been used to get a precise picture of the factors that affects the performance.
The outcome of the thesis shows that Bun is significantly faster compared to Node.js. However, the method of this thesis gives one sided view of the differences between Node.js and Bun. When considering the implementation of Bun, other factors such as security, compatibility and reliability should be taken into account.