In 2025, how do Node.js and Python compare in backend performance, scalability, and ideal use cases?

Analyzes throughput, latency, concurrency, and use cases (real-time vs ML/analytics) for both technologies.

• Node.js handles concurrent I/O-heavy loads efficiently (approx. 90K requests/sec, ~31 ms latency) using V8 and event-driven architecture. It’s suited for chat apps, real-time APIs, and microservices. • Python, despite the GIL, remains optimal for data-driven apps—AI/ML pipelines, analytics, and rapid prototyping using frameworks like Django, Flask, FastAPI, especially when combined with asynchronous servers and JIT compilers (Python 3.13 JIT claims outpacing Node.js in benchmarks). Tags: nodejs, python, backend, performance, scalability, real-time, data