Performance

Caching provides a well-understood methodology to increase application performance.

Picking the right caching solution is a crucial decision.

There are many things to consider when choosing a cache, including:

• Proof that it works—who else is using the solution?
• How easy is to get your hands on it, try it, get help and advice from other users?
• How well supported is it? Can you get good enterprise grade SLA-backed support?
• How well does it work? How well does it fare in performance comparisons against other solutions?
• How applicable is it to the variety of data types that you need to cache?
• How well can it grow with your business?

Let us help you with your choice:

Pick Terracotta Ehcache

Why? It is by far the most widely used Java cache with over 100,000 deployments. It is freely available open source software with a strong user community, yet also available in an enterprise grade, commercially licensed version from its makers—Terracotta. It outperforms all the other caching solutions, and is the only solution that spans the caching continuum from stand-alone cache to distributed coherent cache.

If you haven’t already tried it, download a copy from ehcache.org

Already using a cache but looking for more?

Need more performance?

Add more application servers as needed to increase capacity. Terracotta Ehcache automatically keeps all of your cache data in sync without bottlenecks.

Need lower latency?

Cache database results and SOA calls for very low latency access to critical data. Terracotta Ehcache automatically optimizes cache locality to maximize distributed cache performance.

Need coherence?

Business-critical data is always up-to-date on every application server.

Need high availability?

Terracotta has no single points of failure, so business-critical data is always available to your application.

Need reliability?

Business-critical cache data is persisted to disk for reliability.

Want cache visibility and management?

Terracotta Ehcache ships with enterprise-class visualization and management tools for easy tuning and operational control.

Looking for an easy to use way to share large datasets coherently across multiple app nodes?