Struggling to choose between Oracle Weblogic Server and Payara Server? Both products offer unique advantages, making it a tough decision.
Oracle Weblogic Server is a Development solution with tags like java, java-ee, weblogic, oracle, application-server.
It boasts features such as Supports Java EE applications, Provides runtime services for enterprise applications, Supports development and deployment of Java, Java EE, HTML5, and web services applications, Offers high availability and scalability, Includes management and monitoring tools, Integrates with other Oracle products, Provides security features and compliance support and pros including Robust and scalable platform for enterprise applications, Tight integration with other Oracle products, Comprehensive set of features and tools, Reliable and secure, Mature and well-established technology.
On the other hand, Payara Server is a Development product tagged with java, jakarta-ee, glassfish, open-source.
Its standout features include Full compatibility with Java EE 8, Production-ready clustering, 24/7 Mission Control monitoring, Enhanced security with Payara MicroProfile JWT, Simplified troubleshooting and administration, Fast application deployment, and it shines with pros like Open source and free to use, Very stable and reliable, Great performance, Easy clustering setup, User-friendly admin console, Active community support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Oracle WebLogic Server is a Java EE application server that provides a standard set of APIs and runtime services for enterprise applications. It supports development and deployment of Java, Java EE, HTML5, and web services applications.
Payara Server is an open source application server derived from GlassFish Server Open Source Edition. It adds patches, bug fixes and enhancements on top of the GlassFish codebase. Key features include production-ready clustering, simplified troubleshooting and administration.