Why buy 10 servers when 2 will do?

DataCore Parallel I/O

Top Reasons for Virtualizing Servers:

1. Consolidate multiple workloads on a server using its multiple CPUs and large memories
2. Isolate applications from hardware changes and failures so they run smoothly


All workloads wait on one serial process for I/O, creating a bottleneck

Pain Points:

• More servers required to spread the I/O load -  fewer virtual machines (VMs) per server
• Apps run slower when virtualized 
• Expected cost reductions don’t materialize


Hypervisors, operating systems and container virtualization treat I/O serially even though workloads are scheduled to run in parallel across several CPUs

The Solution: Unlock the Full Performance of Your Servers with
DataCore™ Parallel I/O Software

How: Process I/Os in parallel leveraging multi-core processor systems

Benefits: Do More with Less

  • Far fewer servers needed (2 vs 10)*

  • Apps run 10X faster**, even when virtualized - work completes in 1/10th the time

  • Systems respond quicker without adding hardware

  • Higher workload consolidation ratios – more VMs per server

  • Costs decrease substantially, as does complexity

Proof: World record holder for Performance and Price-Performance


Product Availability - The Power of Parallel I/O is included in:

  • DataCore™ Hyper-converged Virtual SAN software

  • DataCore™ SANsymphony™-V Storage Virtualization Software

*Ratios depend on number of cores per CPU and I/O intensity of workloads
**TechValidate survey results of DataCore customers

iDataCore SANsymphony-V 10.0 SPC-1 Full Disclosure Report

ESG Lab 360 Video:
DataCore’s Parallel Processing – Apps & I/O on Steroids



Parallel I/O Whitepaper

Examining DataCore's Parallel architecture and how it addresses the craving for IOPS.

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Try DataCore Parallel I/O to see the impact on your application performance. Risk free 30 day trial.

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Benefits of Parallel I/O

How Parallel I/O & Moore’s Law Enable Virtualization & Software-Defined Data Centers Full Potential

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