A downstream fork of OpenJDK providing a binary distribution of Java for SAP customers and partners.
SapMachine is a downstream fork of the OpenJDK project, maintained and supported by SAP. It provides a binary distribution of Java specifically tailored for SAP customers and partners, ensuring compatibility and reliable support within SAP's ecosystem. The project tracks upstream OpenJDK releases, incorporating all fixes and changes while following an upstream-first contribution model.
SAP customers and partners who require a supported, enterprise-ready Java runtime for running SAP applications and services. It is also suitable for developers working within the SAP ecosystem who need a reliable JDK distribution.
Developers choose SapMachine for its official SAP support, guaranteed compatibility with SAP software, and its commitment to tracking upstream OpenJDK. It provides a trusted, enterprise-grade Java distribution with clear maintenance and support policies.
An OpenJDK release maintained and supported by SAP
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Officially maintained and supported by SAP with a dedicated statement, providing reliability and compatibility for SAP applications, as highlighted in the README.
Tracks upstream OpenJDK releases and contains all fixes and changes, ensuring it stays current with standard Java while minimizing compatibility issues.
Offers pre-built binaries and Docker images for straightforward installation and containerized deployments, simplifying setup in various environments.
Directs contributions to OpenJDK and regularly syncs, promoting open-source collaboration and ensuring upstream improvements benefit SapMachine users.
The project explicitly states it does not accept external contributions, limiting community involvement and potential enhancements specific to SapMachine.
Tailored primarily for SAP customers and partners, which may lack optimizations or features for general Java use cases outside the SAP ecosystem.
Relies on SAP's maintenance and support cycles, potentially leading to less flexibility or slower updates compared to community-driven distributions.