Why Parallel I/O & Moore’s Law Enable Virtualization and Software-Defined Data Centers to Achieve their Potential
Today’s demanding applications, especially within virtualized environments, require high performance from storage to keep up with the rate of data acquisition and unpredictable demands of enterprise workloads. In a world that requires near instant response times and increasingly faster access to data, the needs of business-critical tier 1 enterprise applications, such as databases including SQL, Oracle and SAP, have been largely unmet.
The major bottleneck holding back the industry is I/O performance. This is because current systems still rely on device -level optimizations tied to specific disk and flash technologies since they don’t have software optimizations that can fully harness the latest advances in more powerful server system technologies such as multicore architectures. Therefore, they have not been able to keep up with the pace of Moore’s Law.
DataCore is a leader in software-defined storage. The company’s storage virtualization software empowers organizations to seamlessly manage and scale their data storage architectures, delivering massive performance gains at a fraction of the cost of solutions offered by legacy storage hardware vendors. Backed by 10,000 customer sites around the world, DataCore’s adaptive and self-learning and healing technology takes the pain out of manual processes and helps deliver on the promise of the new software-defined data center through its hardware agnostic architecture.
SANsymphony™ is our flagship 10th generation storage virtualization solution. In use at over 10,000+ customer sites, it maximizes IT infrastructure performance, availability and utilization by virtualizing storage hardware.
DataCore™ Hyper-converged Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.