Data from Nearly 2,000 DataCore Customers Uncovers Impact of Software-Defined Flexibility on Acquisitions, Refreshes and Migrations; Productivity Gains
from Increasing Performance Up to 10x and Reducing Total Cost of Ownership
FORT LAUDERDALE, Fla., April 5, 2016 –
, the leader in Parallel-Powered Software, Application-Adaptive Data Infrastructure and Hyper-converged Virtual SAN solutions, today announced the results of a new
research study conducted by TechValidate. The study primarily focused on
the experience of DataCore customer’s in terms of performance, availability/reliability and total cost of ownership (TCO). Overall, participants reported
faster applications with up to 10x performance increases; higher availability with a 90% or greater reduction in storage-related downtime; substantial
reduction in costs; and greater productivity with the majority of respondents reporting a 50-90% decrease in time spent on routine tasks.
Highlights from the findings include:
- – 47% of customers reported a 50% or more reduction in storage-related spending; over 80% of customers reported at least 25% savings.
- – The majority of customers reported that they were able to defer or skip multiple refresh cycles, and over 60% saved by deferring storage hardware
acquisitions by using DataCore to extend the life and enhance the productivity of current investments.
- – 79% of customers reported improvements of at least 3x, and nearly half of the DataCore customers surveyed reported performance improvements between
- – 60% reduced storage-related downtime with DataCore by 90% or more; the majority of customers who had systems deployed for two years or more reported no
storage-related downtime whatsoever.
- – 72% of respondents reported a 50% or more decrease in time spent on managing routine storage tasks, with some noting a reduction as high as 90%.
- – All respondents reported a positive ROI with DataCore in the first year; 50% reported a positive ROI in six months or less.
These findings further support that DataCore offers the best performance and the lowest TCO in the industry by complementing new data recently published by
the Storage Performance Council (SPC). In a series of recently released SPC-1 benchmarks, DataCore’s current SANsymphony and Hyper-converged Virtual SAN
software achieved the industry’s best price-performance, coming in at just $0.08 cents per SPC-1 IOPS™. The results also measured incredibly fast response
times of just 0.32 milliseconds  which were achieved while running the full load of the demanding
enterprise-class application and database benchmark. At 0.32 milliseconds, the results are 3x-10x better than all other reported results including those
from all-flash arrays and million dollar plus systems.
To highlight the full impact of parallel I/O on performance, DataCore recently
the results of new software that will enable servers to utilize multicores to multiply performance. The software, available in Q2, has demonstrated an
incredible result of more than 1.5 million SPC-1 IOPS™ with a new world record response time of just 0.10 milliseconds at 100 percent load .
“This is game changer which is ahead of the trend and a key element to help organizations truly be able to have a software-defined data center,” DataCore
customer Irvin Nio, IT Architect at Capgemini, noted during the survey.
The new level of enterprise-class high availability and reliability proved by TechValidate research can be attributed to DataCore’s features including
hardware interoperability, hardware-independent storage services, data migration capabilities, and more. DataCore’s latest addition to its technology
portfolio, parallel I/O, uniquely takes advantage of today’s advanced multi-core server platforms to execute many independent I/O streams simultaneously
across multiple CPU cores – supporting the I/O needed to run more VMs and application workloads faster and at a much lower cost. It significantly reduces
the latency to service and process I/Os while enabling companies to benefit from dramatically higher productivity and huge server consolidation savings.
A total of 1,984 responses were recorded from DataCore customers globally.TechValidate research data is sourced directly from verified business and
technology professionals. The full findings of the study can be viewed at: http://ift.tt/1V6RWeM.
DataCore, the Data Infrastructure Software company, is the leading provider of Software-Defined
Storage and Adaptive Parallel I/O Software – harnessing today’s powerful and cost-efficient server platforms with Parallel I/O to overcome the IT
industry’s biggest problem, the I/O bottleneck, in order to deliver unsurpassed performance, hyper-consolidation efficiencies and cost savings. The
company’s comprehensive and flexible storage virtualization and hyper-converged virtual SAN solutions free users from the pain of labor-intensive storage
management and provide true independence from solutions that cannot offer a hardware agnostic architecture. DataCore’s Software-Defined and Parallel I/O
powered platforms revolutionize data infrastructure and serve as the cornerstone of the next-generation, software-defined data center – delivering greater
value, industry-best performance, availability and simplicity. Visit http://www.datacore.com or call (877) 780-5111 for more information.
Storage Performance Council, SPC-1, SPC-1 IOPS, SPC-1 Price-Performance and SPC-1 Result are trademarks or registered trademarks of the Storage
DataCore, the DataCore logo and SANsymphony are trademarks or registered trademarks of DataCore Software Corporation. Other DataCore product or service
names or logos referenced herein are trademarks of DataCore Software Corporation. All other products, services and company names mentioned herein may
be trademarks of their respective owners.
For media & PR inquiries:
SVM on behalf of DataCore
Jill Colna or Sarah Anderson
SPC Benchmark 1 Full Disclosure Report DataCore Software Corporation DataCore SANsymphony-V 10.0
(Current as of 11/30/2015)
SPC Benchmark 1 Full Disclosure Report DataCore Software Corporation DataCore Parallel Server
(Current as of 2/26/2016)