Benchmark 2025: Rust vs C++, Go, and Python in High-Load Systems

Benchmark 2025: Rust vs C++, Go, and Python — Who Leads in High-Load Systems?

In early 2025, the pythonlib.ru team conducted a series of benchmark tests to compare the performance of Rust with its main competitors: C++, Go, and Python. The goal is to determine how justified the transition to Rust is in high-load backend systems and data processing. The tests were performed on identical hardware (AMD Ryzen 9, 64 GB RAM, NVMe SSD) under a load simulating real-world tasks of web services and ETL processes.

Testing Methodology

We selected three key scenarios:

• CPU-bound: Fibonacci number calculation (recursion) and 1000x1000 matrix multiplication (50 iterations).
• Memory-bound: Working with hash tables (10 million inserts/reads).
• I/O-bound: Reading/writing 1 million rows from CSV + JSON parsing (100 MB file).

Results: Rust vs C++ (Execution Time, Seconds)

In CPU tasks, Rust showed results comparable to C++ (difference less than 3%). However, in tasks with intensive multi-threaded memory access, Rust outperformed C++ by 12% thanks to its strict ownership model, which eliminates data races at compile time. In I/O operations, the difference was minimal (2-4% in favor of C++).

Rust vs Go: Speed and Safety

Go is traditionally known for its lightweight concurrency (goroutines), but Rust with its async/await and tokio showed 40% higher throughput in HTTP servers (wrk test on 10k connections). In the memory leak test, Go consumed 25% more RAM than Rust due to its garbage collector. Rust also won in JSON parsing speed (2.1 times faster).

Rust vs Python: Order of Magnitude Difference

As expected, Rust surpassed Python (CPython 3.13) in all tests: from 15 times (I/O) to 50 times (pure computation). Even with PyPy and NumPy for matrix operations, Python lagged behind Rust by 5–8 times. The main takeaway: Python remains best for prototyping, but for production, Rust is the only choice.

Conclusions for Developers

• Rust vs C++: Rust is safer (no segfaults) and almost as fast. Recommended for new code.
• Rust vs Go: Rust is faster and more memory-efficient, but requires more development time. Go is for microservices where development speed is more important.
• Rust vs Python: Rust for the system core, Python for scripts and ML. The combination (PyO3, maturin) offers the best of both worlds.

Full benchmark logs and scripts are available on pythonlib.ru in the "Performance Tests" section. Switch to Rust today — your CPU will thank you!