MapR
Technologies, the provider of the open, enterprise-grade
distribution for Apache Hadoop, today announced that MapR will make its
distribution for Hadoop available on Google Compute Engine. The
combination of the new Google service and the MapR distribution enables
customers to quickly provision large MapR clusters on demand and to take
advantage of the flexibility, agility and scalability of a cloud-based
solution.
Google pioneered MapReduce for their internal search framework, which
inspired the community development of Hadoop. Now, through MapR’s
distribution for Hadoop, organizations are able to benefit from Google’s
highly available, dependable, and scalable infrastructure for Big Data
analytics.
MapR also demonstrated a significant price/performance breakthrough on
stage at Google I/O completing a one terabyte (TB) TeraSort job in 1
minute 20 seconds. This result was achieved on a Google Compute Engine
cluster with 1256 nodes, 1256 disks and 5024 cores at a cost of $16.
This result compares favorably with the existing world record of one
minute two seconds that was set with a physical cluster with more than
four times the disks, twice as many cores, 200 more servers, and at a
cost of more than $5 million.
“Off-premise, on-demand computing is an important part of the future for
Hadoop,” said John Schroeder, CEO and co-founder of MapR Technologies.
“MapR is solidifying that future by partnering with Google and
leveraging their cost-effective, high performance and scale-out
infrastructure.”
The integration of MapR with Google Compute Engine includes a menu of
MapR compute configurations where customers can easily store, manage and
analyze large volumes of data cost effectively in the cloud. Customers
have the flexibility within Google Compute Engine to pay on demand and
quickly and easily spin up 1,000+ node clusters.
“To help customers get the most out of our cloud platform products,”
explains Eric Morse, head of sales and business development, for
Google’s cloud platform, “we work closely with technology companies that
provide powerful complementary solutions integrated with our platform.”
Google Compute Engine partners include technology firms, such as
software vendors, platform companies, and management and tools vendors,
and early collaboration with services firms, such as systems
integrators, developers, and IT consultants. These partners offer
complementary services, solutions, and technologies that have been
integrated to provide customers with powerful new solutions using Google
Compute Engine. MapR on Google Compute Engine will be available as a
free private beta for a select number of customers. Interested customers
can learn more and request access www.mapr.com/google
and to learn more about the Google Compute Engine, go to http://googleenterprise.blogspot.com/
The availability of MapR on the Google Compute Engine will be available
as a free private beta for a select number of customers. Interested
customers should review and fill out the nomination form.
About MapR Technologies
MapR delivers on the promise of Hadoop, making Big Data management and
analysis a reality for more business users. The award-winning MapR
Distribution brings unprecedented dependability, speed, and ease-of-use
to Hadoop. Providing unparalleled data protection and business
continuity, MapR enables customers to harness the power of Big Data
analytics. The company is headquartered in San Jose, CA. Investors
include Lightspeed Venture Partners, NEA and Redpoint Ventures. Download
the latest MapR Distribution for Apache Hadoop. Connect with MapR on Facebook,
Linkedin,
and Twitter.
