If you take any Node.js framework like Express, Fastify, or Hono, they run on a single core by default. That’s the biggest overhead unless you explicitly use clustering.
BrahmaJS, on the other hand, provides upgraded I/O and TCP modules built on top of Rust’s Tokio runtime, which is far more efficient than Node.js. By default, BrahmaJS runs in a multithreaded mode, utilizing all available CPU cores without needing Node.js clustering.
Another key advantage is that heavy tasks like body parsing are handled by Hyper. This means your Node.js handlers receive a cleaned request and you can simply return your response using async/await.
The only overhead comes from the N-API thread-safe function, which manages data transfer between the Node.js world and the Rust world—but this overhead is minimal.
Since all your endpoints are io heavy brahma Js can offer you quick body parsing and micro milliseconds perf compared to express undoubtebly.
If you take any Node.js framework like Express, Fastify, or Hono, they run on a single core by default. That’s the biggest overhead unless you explicitly use clustering.
BrahmaJS, on the other hand, provides upgraded I/O and TCP modules built on top of Rust’s Tokio runtime, which is far more efficient than Node.js. By default, BrahmaJS runs in a multithreaded mode, utilizing all available CPU cores without needing Node.js clustering.
Another key advantage is that heavy tasks like body parsing are handled by Hyper. This means your Node.js handlers receive a cleaned request and you can simply return your response using async/await.
The only overhead comes from the N-API thread-safe function, which manages data transfer between the Node.js world and the Rust world—but this overhead is minimal.
Since all your endpoints are io heavy brahma Js can offer you quick body parsing and micro milliseconds perf compared to express undoubtebly.