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Backend development language performance PK: Which language saves the most resources?

Susan Sarandon

Apr 02, 2025 pm 04:27 PM

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Backend development language performance PK: Which language saves the most resources?

Back-end development language performance: a large resource consumption competition

Choosing the right programming language and framework is crucial for backend development, especially in terms of resource utilization. Many languages such as Java, Python, C, Go can build high-performance back-end applications, but which language and framework can most effectively utilize computer resources? This depends on the specific application scenario and needs, and there is no absolute "best choice".

We roughly compare the resource utilization rates of several common backend languages, sorting from the underlying to the high-level language: the top-ranked languages are usually closer to the underlying hardware, have finer memory control, and less runtime overhead.

In theory, machine code (0101) has the best resource utilization because it operates the hardware directly. Following closely behind are machine instructions and assembly languages , which also directly access and operate hardware resources.

The C language is known for its high efficiency and good control over the underlying hardware, and its resource utilization is excellent. As an extension of C language, although C has added object-oriented features, its performance is still very high.

Rust is highly regarded for its memory security and high performance, and its resource utilization is also at a high level. Go language also performs well in resource utilization due to its simplicity and concurrency.

In contrast, Java's resource utilization rate is not as good as that of the previous languages because it uses virtual machines. Python 's explanatory features and dynamic type systems usually lead to relatively low resource utilization.

It should be noted that this sort is for reference only. Resource utilization in actual applications is also affected by many factors such as algorithm efficiency, framework selection, hardware configuration and code quality. Choosing the right language and framework requires comprehensive consideration and practical testing and evaluation.

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