Saugatuck Technology Report Shows Cost Advantage Of Dimension Data Cloud Versus Other Solutions
Industry research firm underscores value of Dimension Data cloud services for enterprises seeking cost-efficiency
NEW YORK, Aug. 20, 2013 /PRNewswire/ — Dimension Data, the $5.8 billion global ICT solutions and services provider, today announced that the potential cost benefits of its cloud solutions have been featured by research firm Saugatuck Technology in its report, “Understanding Cloud Infrastructure Costs: Navigating for Savings.” Saugatuck’s research reveals that the flexibility of Dimension Data’s cloud services can provide significant value versus other solutions.
The report identifies the most significant costs resulting from utilizing cloud IT infrastructure and compares in-house services against commercially available ones. The Saugatuck report comes on the heels of another report by The Tolly Group that highlights performance as a critical factor in determining the true cost of cloud.
“Saugatuck’s findings reinforce Dimension Data’s differentiation based on price and on the value of our enterprise-class Public CaaS solutions,” said Gerard Florian, director of product management at Dimension Data’s Cloud Business Unit. “We have purposely built our offering to provide the granular configuration and controls our customers require, while maintaining the flexibility needed to allow them to realize true cost savings.”
Dimension Data allows clients to choose the levels of CPU, memory and storage they need for their specific workload. For this report, Saugatuck Technology compared the total cost of ownership (TCO) for in-house (private) cloud solutions against several public cloud infrastructure offerings, including Dimension Data’s Public Compute-as-a-Service (CaaS). Saugatuck also performed analyses for different types of small, medium and large workload infrastructure offerings, and evaluated these based on three different levels of cost efficient “variably optimized environments”, including highly optimized, 20 percent less optimized and 50 percent less optimized. Saugatuck found that when running a small workload, Dimension Data’s solutions were significantly less in terms of representative costs versus the other public cloud offerings for all scenarios listed, and proved less expensive than in-house solutions in two of the three variably optimized environments.
Amish Patel, cloud applications manager at Aerohive Networks said, “We were shocked by how fast the return on investment came after we fully deployed our production application in the Dimension Data cloud.”
The Dimension Data Cloud Business Unit provides a suite of cloud services that help clients accelerate their business with pay-for-use public cloud servers, private cloud hosting, and cloud enablement and integration services. Dimension Data’s public cloud and private cloud services are delivered via its Managed Cloud Platform((TM)) (MCP), comprised of cloud infrastructure (cloud servers, storage, networking and software) and Dimension Data CloudControl((TM)), a cloud management system that provides operational control and automation of cloud resource provisioning, orchestration, administration and billing.
Today, Dimension Data’s cloud services can be accessed globally via MCPs in San Jose, Calif., and Ashburn, Va., U.S.; Amsterdam, The Netherlands; Sydney, Australia; Johannesburg, South Africa; Tokyo, Japan; and Hong Kong, China.
About Dimension Data
Founded in 1983, Dimension Data plc is an ICT services and solutions provider that uses its technology expertise, global service delivery capability, and entrepreneurial spirit to accelerate the business ambitions of its clients. Dimension Data is a member of the NTT Group. Visit us at http://www.dimensiondata.com/en-US and www.facebook.com/DimensionDataAmericas or follow us on Twitter: @DimensionDataAM.
For further information: Jackie Funk Sarah Otterstetter Dimension Data Davies Murphy Group T: 571-203-4006 T: 781-418-2416 E: Jackie.Funk@dimensiondata.com E: firstname.lastname@example.org
SOURCE Dimension Data