MetaScale, the technology solutions provider subsidiary of Sears Holdings, today introduced the industry’s first Hadoop appliances that incorporate advanced technology with the expertise of specialists who have successfully delivered Hadoop implementations.

The announcement was made today at the O’Reilly Strata conference, being held in Santa Clara. MetaScale is a Premier Exhibitor at the conference.

The complete line of MetaScale-branded appliances are specifically designed to help companies rapidly implement Hadoop initiatives in their organizations, and slashing the time needed to gain the Big Data insights they want in a cost-effective manner. The appliances are also built in a vendor-neutral manner, with companies able to choose the platform or Hadoop distribution that makes the most sense for them, such as Hortonworks, Cloudera, or others.

“Hadoop has evolved to the point where it is no longer a theoretical initiative. It is capable of delivering significant results, helping firms efficiently analyze incredible amounts of large data both structured and unstructured,” said Ankur Gupta, general manager at MetaScale. “Our appliances are designed to help companies rapidly configure, install and gain results from their Hadoop efforts. Unlike other appliances, we do not force our clients to choose from one implementation or distribution; we consult with them to find the solution that best meets their needs.”

“The MetaScale Hadoop appliances are configured to fit in minimal rack space with a varying disk capacity from 10TB upwards, capable of handling many of the largest analytical demands of firms demanding rapid access and answers to business-related queries,” said Rudi Landolt, an architect on MetaScale’s Hadoop infrastructure team.
A standard and high-level configuration of MetaScale appliance are listed below. These configurations can be further customized to meet the individual needs of MetaScale’s customers. MetaScale has also designed its Hadoop appliances to fit the budgets of virtually any firm with Big Data requirements, with prices starting at $10,000 per month, including a full range of technical support.

“A recent survey indicated that two-thirds of businesses want quicker decision times,” said Gupta. “It used to be that kind of capability only came with a tremendously high price tag. Things have changed, however, and we are pleased to be able to deliver a solution that meets companies’ analytical and financial requirements.”