Speed-up performance from existing storage by 200%

Overcome I/O bottlenecks that slow down applications and result in a poor user experience
Whether you measure it in I/Os per second (IOPS) or throughput, DataCore shines when it comes to I/O performance. Largely because our design exploits the inexpensive processing speed and memory capacity of the latest and greatest x86/x64 servers to cache read and write requests across your entire storage infrastructure. We accelerate application response from the world’s largest and fastest storage systems from EMC, IBM, Fujitsu, HDS, HP and NetApp to name a few, in the process offloading them from repeated disk requests. The benefits are most pronounced in clustered systems, consolidated IT environments, virtual servers and virtual desktops.
Faster Response times for your applications and VMs
DataCore's storage virtualization software takes advantage of low cost RAM memory for high-speed caching, making it the most cost effective way to accelerate performance across any of your storage that sits within the virtual storage pool. Bottomline, users typically report 2 to 3 times faster response times with DataCore. The software automatically optimizes your read and write traffic to run efficiently within the cache memory and therefore your applications and systems get their responses back at much faster memory speeds versus having to wait for slower mechanical speed disk devices.

It’s similar in principle to web caches used to speed up Internet browsing while lowering the load on the back-end web servers. We intercept all I/Os to disks and turn them around at electronic speeds from cache memory. Because many applications tend to have similar disk access patterns across the cluster, techniques like read-ahead and write coalescing provide two-fold performance boost over the native speed of the storage device. Each DataCore node can support up to 1 TB of cache memory, and several nodes may be configured to scale out the working set. Additional speed may be obtained by configuring Solid State Disks (SSD) in the pool.
It’s one of many areas where cheap attempts to imitate DataCore software fail miserably. They’ll tease you with a list of supposedly matching features, but fail to scale past the proof-of-concept when the live workloads come on.
> Read Case Studies of Performance Speed-up projects using DataCore Software