Go Big. Go Fast.

Max Out the Biggest Servers on the Market with BigMemory

With terabyte servers now available from Dell, HP, Oracle and IBM, a single Java application using BigMemory can access 10s of terabytes of in-memory data at microsecond speed. It’s never been easier or more cost-effective to scale up enterprise Java applications.

Put More Data in Memory, Take Less Time Tuning

This release lets you use as much memory as you want, wherever you want. It also adds the ease and efficiency of Automatic Resource Control (ARC) to Ehcache.

A major new capability of Ehcache 2.5, ARC provides unprecedented control over memory resource use, without the cost of iterative tuning. Instead of trial-and-error cache sizing by element count, ARC provides memory-based cache sizing at both individual cache and grouped CacheManager levels. Dynamic allocation of memory across multiple caches, along with automatic load balancing, delivers maximum efficiency with minimal tuning.

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