9 Fallacies of Java Performance

Java performance has the reputation of being

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something of a Dark Art. Partly this is due to the sophistication of the platform, which makes it hard to reason about in many cases. However, there has historically also been a trend for Java performance techniques to consist of a body of folk wisdom rather than applied statistics and empirical reasoning. In this article, I hope to address some of the most egregious of these technical fairytales.

1. Java is slow

Of all the most outdated Java Performance fallacies, this is probably the most glaringly obvious.

Sure, back in the 90s and very early 2000s, Java could be slow at times.

However we have had over 10 years of improvements in virtual machine and JIT technology since thenand Java’s overall performance is now screamingly fast.

In six separate web performance benchmarks, Java frameworks took 22 out of the 24 top-four positions.

The JVM’s use of profiling to only optimize the commonly-used codepaths, but to optimize those heavily has paid off. JIT-compiled Java code is now as fast as C++ in a large (and growing) number of cases.

Despite this, the perception of Java as a slow platform persists, perhaps due to a negative historical bias from people who had experiences with early versions of the Java platform.

We suggest remaining objective and assessing up-to-date performance results before jumping to conclusions. – 9 Fallacies of Java Performance by Ben Evans