Benchmark 2025: Java vs Go, Rust and Python — which is faster?

Benchmark 2025: Java vs Go, Rust and Python — who wins in speed?

In 2025, the programming language ecosystem continues to actively evolve. Against the backdrop of growing popularity of Go, Rust and the constant presence of Python in the data science field, Java remains one of the most in-demand languages for enterprise applications, microservices, and high-load systems. To understand how competitive Java is, we analyzed the latest benchmarks published in early 2025.

Testing Methodology

The tests were conducted on a standard set of tasks: calculating Fibonacci numbers, parsing JSON, handling HTTP requests, multithreaded computations, and file operations. The latest stable versions of compilers and runtimes were used: OpenJDK 21, Go 1.22, Rust 1.78 and Python 3.13. All measurements were performed on identical hardware (Intel Core i9-14900K, 64 GB RAM, SSD NVMe) with JIT compilation and optimizations enabled.

Results: who leads?

• Rust — the absolute leader in execution speed and memory management. Without a garbage collector and with zero-cost abstractions, Rust outperforms Java by 1.5–2 times on pure algorithms.
• Java — confidently takes second place. JIT compilation C2 (GraalVM in native image mode) allows Java to catch up with Rust in scenarios with long-running processes (web servers, databases). On average, Java is only 20–30% slower than Rust, but significantly faster than Go and Python.
• Go — shows excellent results in multithreading and network tasks thanks to lightweight goroutines. However, in pure computations, Go lags behind Java by 40–50% due to less aggressive optimization.
• Python — traditionally the slowest in this list. Even using PyPy or Cython, Python lags behind Java by 5–10 times on CPU-intensive tasks. However, in I/O-bound scenarios (web scraping, working with APIs), the difference narrows to 2–3 times.

Practical takeaways for developers

The choice of language in 2025 depends on the context:

• If you need maximum performance and memory control — choose Rust.
• If you are building an enterprise system with a large amount of code, libraries, and developers — Java remains the best choice due to its mature ecosystem, huge community, and excellent performance.
• For microservices and cloud applications where deployment simplicity is important — Go.
• For prototyping, ML, and data analysis — Python is unrivaled, despite its speed.

Thus, Java in 2025 has not lost its position: it remains one of the fastest general-purpose languages, especially in long-running server applications. And with the release of new versions of OpenJDK and improvements to GraalVM, the gap with Rust continues to narrow.

Source: aggregated benchmark data from TechEmpower, BenchmarkGame and internal tests by the PythonLib team.