Advanced optimizing compiler that generates fast lean code which requires fewer compute resourcesSee benchmarks →
Native binaries start up instantly and deliver peak performance with no warm up timeView documentation →
Leverage the best features and libraries of popular languages in a single app with no overheadTry demos →
GraalVM for Microservices
Twitter runs one of the most visible social networks in the world on 1,000s of machines running 1,000s of JVMs in multiple datacenters and is constantly looking into ways to increase availability of the platform while reducing costs. Running on GraalVM, Twitter has realized an 8-11% CPU saving with the Tweet service alone requiring 18% fewer machines.
Oracle Cloud Infrastructure
The Oracle Cloud Infrastructure (OCI) Monitoring service is a foundational health monitoring tool that runs on GraalVM Enterprise. By using GraalVM, the Monitoring service reduced its garbage collection times by 25%, application pause times by 17%, and saw a 10% increase in throughput. The benefits of these improvements are being felt across the entire OCI platform.
NetSuite provides a set of cloud-based business management services encompassing ERP, Financials, CRM, and e-commerce for more than 19,000 organizations. The Netsuite engineering team has been working on its next generation recommendation system and used GraalVM and grCUDA to build fast and highly accurate machine learning models within their existing Java application.
Alibaba use the native image technology of GraalVM to statically compile a microservice application into an ELF executable file, which results in native code startup times for Java applications. Currently they are deploying a number of SOFABoot applications compiled as native images. Those applications served real online requests in production environment on a day with the highest transaction volume.
Odnoklassniki is a social network service for classmates and friends. To modernize their front-end Java application to provide a good experience for users with poor Internet connections they added server-side React.js rendering. After comparing implementation options they choose GraalVM for its high performance multi-language support and ease of migration.
Goldman Sachs is reimplementing their in-house Slang programming language used for critical pricing and risk applications on GraalVM. They used the Language Implementation Framework to modernize Slang while not breaking its complex dynamic type system, 25 year-old C++ code base, and more than 150 million lines of often mission-critical code.
GraalVM’s multi-language support allows Dutch Police data scientists and application developers to collaborate. With GraalVM, data scientists can focus on building statistical analysis functions in R that the service development teams can expose via Spring Boot services written in Scala and Java.
- Open source GPL 2 license with classpath exception
- Support from committers and community members
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