BYO: JVM vs GraalVM: Understanding the Differences

Arpit RathoreArpit Rathore
3 min read

JVM vs GraalVM: Understanding the Differences and Performance Comparison

The Java Virtual Machine (JVM) has been the cornerstone of Java's “write once, run anywhere” philosophy for decades. With the advent of GraalVM, a high-performance runtime from Oracle, developers now have a powerful alternative that extends beyond the traditional JVM. This blog explores the differences between JVM and GraalVM, comparing their features and performance to help you choose the best fit for your applications.

What is the JVM?

The Java Virtual Machine is a runtime environment that executes Java bytecode. It abstracts the underlying hardware, enabling Java applications to run on any platform that supports the JVM.

Key Features of the JVM:

  • Platform Independence: Enables cross-platform compatibility.

  • JIT Compilation: Uses Just-In-Time (JIT) compilation to improve runtime performance.

  • Robust Ecosystem: Supported by a mature ecosystem of libraries, tools, and frameworks.

  • Multilingual Support: Compatible with other JVM-based languages like Kotlin, Scala, and Groovy.

What is GraalVM?

GraalVM is a high-performance runtime designed to enhance the execution of applications written in Java and other languages. It offers advanced features like Ahead-of-Time (AOT) compilation and polyglot programming capabilities.

Key Features of GraalVM:

  • AOT Compilation: Converts Java applications into native binaries, reducing startup times and memory usage.

  • Polyglot Support: Runs multiple languages such as JavaScript, Python, Ruby, and LLVM-based languages.

  • Enhanced Performance: Offers an optimized JIT compiler for faster execution of JVM-based applications.

  • Interoperability: Facilitates seamless interaction between different programming languages.

JVM vs GraalVM: Feature Comparison

FeatureJVMGraalVM
CompilationJIT CompilationJIT and AOT Compilation
Startup TimeRelatively slowFaster with native image
Memory UsageHigher due to JIT runtimeLower with native image
Polyglot SupportJVM-based languages onlyMultiple languages
PerformanceOptimized for long-running applicationsOptimized for both short and long-running applications
EcosystemMature and vastGrowing rapidly

Performance Comparison

  1. Startup Time:

    • JVM: Traditional JVM applications have longer startup times because of the initialization of the runtime environment and the JIT compilation process.

    • GraalVM: Applications compiled into native binaries with GraalVM’s AOT compilation start significantly faster, making it ideal for microservices and serverless environments.

  2. Memory Usage:

    • JVM: Consumes more memory as it includes the JIT compiler and associated metadata.

    • GraalVM: Native binaries generated by GraalVM use less memory since they exclude the JIT compiler.

  3. Runtime Performance:

    • JVM: Excels in long-running applications due to dynamic optimizations performed by the JIT compiler.

    • GraalVM: The Graal JIT compiler outperforms the standard JVM JIT compiler (C2) in many scenarios, offering better runtime performance.

  4. Polyglot Applications:

    • JVM: Primarily focused on Java and JVM-compatible languages.

    • GraalVM: Provides superior polyglot capabilities, enabling seamless integration of languages like JavaScript, Python, and Ruby.

Use Cases

When to Choose JVM:

  • Applications that are long-running and benefit from dynamic optimizations.

  • Projects that rely heavily on the mature Java ecosystem.

  • Development environments where startup time is less critical.

When to Choose GraalVM:

  • Microservices and serverless applications that require fast startup times.

  • Polyglot applications involving multiple programming languages.

  • Resource-constrained environments where lower memory usage is essential.

Final Thoughts

The choice between JVM and GraalVM depends on your application’s requirements. While the JVM remains a reliable and robust option for many use cases, GraalVM brings innovative capabilities, particularly for modern cloud-native and polyglot environments. Its performance enhancements, especially in terms of startup time and memory usage, make it a strong contender for a variety of scenarios.

Understanding the strengths and trade-offs of both runtimes will empower you to make the best decision for your development needs.

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Written by

Arpit Rathore
Arpit Rathore

Senior Backend Engineer