My setup: Site is planned to be used as a social network, expectation is that logged in members can add a variety of content types. Some views have exposed filter criteria, others are more "static" and perhaps candidates for views caching. My SQL Version 5.1.61 x86_64 Uptime = 2 days 15 hrs 34 min 33 sec Avg.
Check the hibernate-ehcache POM for more information.
To configure Big Memory Go as a Hibernate second-level cache, set the region factory property to one of the following in the Hibernate configuration. In addition to configuring the second-level cache provider setting, you will need to turn on the second-level cache (by default it is configured to off - ‘false’ - by Hibernate).
Big Memory Go easily integrates with the Hibernate Object/Relational persistence and query service.
Gavin King, the maintainer of Hibernate, is also a committer to the Big Memory Go’s Ehcache project.
Welcome to Infinispan’s Frequently Asked Questions document.
We hope you find the answers to your queries here, however if you don’t, we encourage you to connect with the Infinispan community and ask any questions you may have on the Infinispan User Forums. While Infinispan can be run in local mode, its real value is in distributed mode where caches cluster together and expose a large memory heap. Putting Infinispan in front of your database, disk-based No SQL store or any part of your system that is a bottleneck can greatly help improve performance.A less common use case is adding clusterability and high availability to frameworks.Since Infinispan exposes a distributed data structure, frameworks and libraries that also need to be clustered can easily achieve this by embedding Infinispan and delegating all state management to Infinispan.This way, any framework can easily be clustered by letting Infinispan do all the heavy lifting.Certain design ideas and indeed some code have been borrowed from JBoss Cache 3.x, however JBoss Cache is in no way a dependency.Infinispan is a complete, separate and standalone project.