![]() ![]() If you want to download and check OpenJ9 then head to AdoptOpenJDK where binaries and archives are available. In 2017 IBM J9 became an Eclipse Foundation project and changed its name to Eclipse OpenJ9.Ĭomparing to HotSpot, OpenJ9 features quicker start-up times and lower memory consumption at a similar overall throughput – I will test that last claim later. OpenJDK 64-Bit Server VM AdoptOpenJDK (build 11.0.9.1+1, mixed mode)ĭeveloped by IMB and previously known as IBM J9, a runtime engine for many of IBM’s Enterprise products. OpenJDK Runtime Environment AdoptOpenJDK (build 11.0.9.1+1) OpenJDK 64-Bit Server VM (AdoptOpenJDK)(build 25.275-b01, mixed mode) OpenJDK Runtime Environment (AdoptOpenJDK)(build 1.8.0_275-b01) HotSpot Java 8 openjdk version "1.8.0_275" If you want to get this JVM then AdoptOpenJDK is the best place to go. Implemented in C++ and originally maintained by Oracle Corporation.Ĭurrently, this responsibility has been taken over by OpenJDK where HotSpot is being developed by community and other organizations. This is the most popular and widely spread variant of JVM. ![]() The following sections contain detailed description of JVM versions I checked. When running the code I did not apply any tuning or Java specific configuration, all JVMs are running with their default settings. Java 8 serves as a good reference, but is a legacy, and you should not be running this version unless you have a good reason to, Java 11 is the current LTS. That is why I decided to limit my tests only to two of most recent LTS releases – 8 and 11. Without a doubt, Long Time Support (LTS) versions of Java are the most commonly used among all other, I decided to benchmark four of (subjectively) the most popular JVM implementations. JVM is responsible for running the code, it takes Bytecode and puts it through various steps, these steps together describe the whole JVM. This means that Bytecode is portable among any Java Virtual Machine (JVM), operating system or underlying hardware. In a nutshell, Java compiler takes the source code (Java, Kotlin, Scala, Clojure, etc.) and produces Bytecode which serves as an intermediary and platform-independent language. This time I do it the right way: in order to get reliable and audible results I focus on a single aspect to make a benchmark and use cloud environment. It evolved into a simple project, if you are interested in that, the old code and benchmarks are available on GitHub (fineconstant/dynamic-programming-jmh-jvm). This blog post is the second iteration of something I did back at the beginning 2019.īack then was tinkering with concepts of dynamic programmingĪnd additionally wanted to test different implementations of Java Virtual Machine. Which one is the best? Let’s write some benchmarks and see! They all differ in numerous aspects, however today I am especially interested in their performance. You have probably heard about HotSpot, but what about Eclipse OpenJ9, GraalVM, Azul Zing – these are just some of the more popular JVM implementations. ![]()
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