Kognitio Announces Support For Amazon Web Services' High-Memory Cluster,
Slashes Pricing For Multi-Node, Cloud-Based Analytical Capability
1¢ per gigabyte in RAM per hour processing, via Kognitio Cloud, enables
companies of virtually any size to perform multi-terabyte in-memory data
LONDON, Jan. 30, 2013
LONDON, Jan. 30, 2013 /PRNewswire/ -- Olympia -- Kognitio, driving the
convergence of Big Data, in-memory analytics and cloud computing, today
announced its support for Amazon Web Services' new High Memory Cluster
instance, with pricing beginning at the unheard-of price of one cent per
gigabyte per hour.
In doing so, Kognitio Cloud becomes the first big data analytics platform
specifically designed to take full advantage of the new Amazon Web Services
high-memory cluster instances on the Amazon Elastic Compute Cloud (EC2) that
were introduced earlier this month.
Continuing the tradition of improving the price to performance and compute
capacity characteristics, high-memory cluster instances advance the economics
of cloud computing, providing even greater analytical capability at a smaller
Through its High Memory Cluster, Amazon has actively recognized the growth and
importance of in-memory computing. Kognitio clients can benefit from that
change immediately, by being able to pin four times as much data into memory
at a significantly lower cost. As an example, companies can now pin a
terabyte of data into memory and make it available for in-depth, active
cloud-based analytics for less than $100 of software licensing costs per
Kognitio made the announcement today at Cloud Expo Europe. Kognitio is a
sponsor; Polly Gowers, CEO of Everyclick, has spoken at the conference about
how her company uses Kognitio Cloud for analytics to support Everyclick's
efforts on behalf of UK-based charities.
"We have been eagerly awaiting these new high-memory instances from AWS," said
John Coppins, senior vice president of Kognitio Cloud. "Our clients' demand
for real-time applications will benefit from the ample CPU and RAM
available—it is exactly what is needed to support the business analytics we
provide for media, healthcare, retail and social media analysis."
Kognitio Cloud is developed to take advantage of the Amazon environment;
company officials said that the Kognitio software has been capable of running
across multiple nodes in production on AWS, with several customers and
partners already taking advantage of this capability today. Companies with AWS
accounts can implement multi-node instances of Kognitio Cloud with a simple
web-based utility that provisions AWS servers immediately.
Today's announcement again confirms the consistent innovative leadership of
Kognitio in the Big Data analytics marketplace. Last year, it began offering
its first-of-its-kind in-memory analytical platform software free of charge.
Full-feature, perpetual use licenses for up to 128GB of RAM can be used in the
cloud or on-premises, allowing organizations of any size to gain insight from
Big Data, unifying the "information anywhere" approach that more companies are
Kognitio is driving the convergence of Big Data, in-memory analytics and cloud
computing. Having delivered the first in-memory analytical platform in 1989,
it was designed from the ground up to provide the highest amount of scalable
compute power to allow rapid execution of complex analytical queries without
the administrative overhead of manipulating data. Kognitio software runs on
industry-standard x86 servers, or as an appliance, or in Kognitio Cloud, a
ready-to-use analytical platform. Kognitio Cloud is a secure, private or
public cloud Platform-as-a-Service (PaaS), leveraging the cloud computing
model to make the Kognitio Analytical Platform available on a subscription
basis. Clients span industries, including market research, consumer packaged
goods, retail, telecommunications, financial services, insurance, gaming,
media and utilities.
To learn more, visit www.kognitio.com and follow us on Facebook, LinkedIn and
Contact: Michael Hiskey, Kognitio, +44-1344-300-770,
firstname.lastname@example.org; or Steve Friedberg, MMI Communications,
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