JBoss vs Payara: What are the differences?

Introduction: 
Key differences between JBoss and Payara are outlined below.

1. **License and Support**: JBoss is released under the GNU Lesser General Public License (LGPL) and provides community and enterprise support options. Payara, on the other hand, is available under the Payara Community License and also offers commercial support for its Payara Server.

2. **Server Architecture**: JBoss uses a modular architecture based on WildFly, which allows for highly customizable server configurations. Payara, derived from GlassFish, follows a more traditional monolithic architecture, providing a more straightforward deployment process.

3. **Clustering and High Availability**: JBoss offers advanced clustering features and high availability capabilities, making it ideal for enterprise-level applications needing robust performance and scalability. Payara also supports clustering and high availability but may require additional configuration for complex setups.

4. **Monitoring and Management**: JBoss provides a comprehensive management console with monitoring tools for performance tuning and resource management. Payara offers similar monitoring capabilities but may require the use of third-party tools for advanced monitoring and management features.

5. **Compatibility and Standards**: JBoss is known for its strict adherence to Java EE and Jakarta EE specifications, ensuring compatibility with a wide range of enterprise technologies and frameworks. Payara also supports these standards but may introduce unique features and optimizations not found in JBoss.

6. **Community and Ecosystem**: JBoss, being an open-source project with a large community base, has a vast ecosystem of plugins, extensions, and resources available for developers. Payara, although growing in popularity, may have a smaller community and ecosystem, potentially limiting the availability of third-party integrations and support resources.

In Summary, JBoss and Payara differ in terms of licensing, server architecture, clustering capabilities, monitoring tools, adherence to standards, and community support.