Businesses to Take Advantage of Big Data Analytics With Enterprise-Ready Apache Hadoop Solutions From NetApp and

Wed Jun 13, 2012 4:01pm EDT

* Reuters is not responsible for the content in this press release.

  SAN JOSE, CA, Jun 13 (Marketwire) -- 
Hadoop Summit 2012 - Today, customers gained two new choices to deploy
enterprise-ready Apache Hadoop solutions and solve their big data
analytics requirements.

    First, NetApp (NASDAQ: NTAP) and Hortonworks entered a strategic
partnership to develop and pretest joint Apache Hadoop solutions using
Hortonworks Data Platform. These solutions will help customers simplify
access to their data and gain deeper business insight to make the right
decisions faster.

    Second, NetApp unveiled the NetApp(R) Open Solution for Hadoop Rack,
which combines network, compute, and storage resources for customers who
need a ready-to-deploy enterprise Hadoop solution. The new solution
bolsters NetApp's existing Hadoop portfolio and gives customers greater
choice and flexibility to deploy Hadoop in their enterprise.

    Separately, NetApp today introduced enhanced data protection and
simplified management capabilities to help customers accelerate their big
data innovation on the NetApp E-Series platform. Read the separate press
release to learn how organizations can convert big data into a business
driver with solutions from NetApp.

    NetApp and Hortonworks Contribute to Open Apache Hadoop
 Extracting
business value from data requires the right analytics tools, servers, and
storage to ingest and analyze the data. Increasingly, companies are
turning to Apache Hadoop to store and analyze raw, complex data and turn
it into valuable business insights. NetApp and Hortonworks will provide
solutions built using Hortonworks Data Platform that offer customers
breakthroughs in stability, management, and efficiency to enhance their
enterprise Hadoop deployments and deliver the following business benefits:


--  Manage larger and more complex data with lower operating expenses and
    storage costs for a lower total cost of ownership
--  Accelerate business processes and improve decision-making capabilities
    by extracting value from big data faster and more easily
--  Increase business productivity with less downtime, higher data
    reliability, and faster time to recovery

    

The two companies' development work will be contributed back to the
Apache Hadoop community with the aim of driving greater Hadoop adoption
in the enterprise and providing improved capabilities such as cluster
performance and storage utilization, service-level agreement attainment,
and data availability.

    "Our expertise in Hadoop, combined with NetApp's experience in data and
storage management, will give customers the best solution to drive
storage and operational efficiency," said Mitch Ferguson, vice president
of business development, Hortonworks. "An important aspect of our joint
development work will be to donate back to the community. The solutions
we build will extend a flexible and open big data analytics framework."

    Deploy Apache Hadoop Right Away with NetApp Open Solution for Hadoop Rack

The new NetApp Open Solution for Hadoop Rack enables businesses to move
Apache Hadoop deployments out of the lab and into enterprise production
right away by combining networking, compute, and storage resources in one
integrated solution. Customers receive best-of-breed components from
NetApp and other leading vendors to deploy Hadoop more easily, faster,
and more reliably, all at a lower cost than do-it-yourself Hadoop
deployments using commodity storage. The NetApp Open Solution for Hadoop
Rack delivers the following benefits to customers:


--  Customers are not locked in to a specific analytics tool to use in
    processing big data and working with Hadoop
--  Customers can choose from a number of leading-edge Hadoop and other
    big data analytical tools for flexibility in architecting their big
    data analytics strategy
--  Enterprise support is included and NetApp Professional Services can
    accelerate deployment and provide Hadoop expertise

    

The NetApp Open Solution for Hadoop Rack bolsters NetApp's portfolio
of big data solutions on its E-Series platform. NetApp big data solutions
are built on NetApp E-Series and Data ONTAP(R) platforms to efficiently
process, analyze, manage, and access data at scale to meet customers'
analytics, bandwidth, and content needs across a diverse number of
industries, including oil and gas, financial services, media and
entertainment, high-performance computing, and public sector. Customers
can spark innovation, make better decisions, and drive successful
business outcomes at the speed of today's business with NetApp big data
solutions. 

    "Our strategic relationship with Hortonworks and our new NetApp Open
Solution for Hadoop Rack align with our strategy to partner with
best-of-breed companies to deliver integrated solutions that give our
customers greater flexibility and interoperability," said Rich Clifton,
senior vice president, Solutions and Integrations Group, NetApp. "While
other storage vendors use proprietary solutions that limit the use and
interoperability of their big data or Hadoop solutions, we intend to give
customers choices, whether they're looking to work with the analytical
tools they already have, deploy an entirely new Hadoop solution, or just
experiment with Hadoop."

    Pricing and Availability
 NetApp and Hortonworks joint solutions will be
available later this year from NetApp sales and channel partners. The
NetApp Open Solution for Hadoop Rack is available today from NetApp sales
and channel partners. Pricing is available from NetApp direct sales and
channel partners.

    Additional Resources


--  Read the Exposed Blog for Val Bercovici's take on Hortonworks and
    Hadoop.
--  Learn more about how businesses can take advantage of big data
    analytics with enterprise-ready Apache Hadoop solutions from NetApp
    and Hortonworks.
--  Learn more about NetApp Open Solutions for Hadoop Rack and read the
    solutions brief and technical solution guide at
    http://www.netapp.com/us/library/datasheets/ds-3296.html.
--  Download the ESG Lab Validation Report on NetApp Open Solution for
    Hadoop.
--  Learn more about NetApp big data solutions:
    www.netapp.com/us/company/leadership/big data/
--  Follow NetApp on Twitter: www.twitter.com/NetApp
--  Join NetApp on Facebook: www.facebook.com/NetApp
--  View NetApp videos on YouTube: www.youtube.com/NetAppTV
--  Connect with NetApp on LinkedIn:
    www.linkedin.com/groups?about=&gid=111681

    

About NetApp
 NetApp creates innovative storage and data management
solutions that deliver outstanding cost efficiency and accelerate
business breakthroughs. Our commitment to living our core values and
consistently being recognized as a great place to work around the world
are fundamental to our long-term growth and success, as well as the
success of our pathway partners and customers. Discover our passion for
helping companies around the world go further, faster at www.netapp.com.

    About Hortonworks
 Hortonworks is a leading commercial vendor of Apache
Hadoop, the preeminent open source platform for storing, managing, and
analyzing large volumes of data. The Hortonworks Data Platform provides
an open and stable foundation for enterprises and a growing ecosystem to
build and deploy big data solutions. Together with the Apache community,
Hortonworks is making Hadoop more robust and easier to install, manage,
and use. Hortonworks provides unmatched technical support, training and
certification programs for enterprises, systems integrators, and
technology vendors. For more information, visit www.hortonworks.com. 

    NetApp, the NetApp logo, Go further, faster, and Data ONTAP are
trademarks or registered trademarks of NetApp, Inc. in the United States
and/or other countries. All other brands or products are trademarks or
registered trademarks of their respective holders and should be treated
as such.

    

Press Contact:
Roger Villareal
(408) 822-1959
rogerv@netapp.com 

Copyright 2012, Marketwire, All rights reserved.

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