New Additions to the Oracle Big Data Appliance Product Family Help Customers Jumpstart Initial Big Data Projects and Scale More Cost-Effectively

Tue Apr 9, 2013 10:00am EDT

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

  DENVER, CO, Apr 09 (Marketwired) -- 

    News Facts 

--  Oracle today announced the availability of Oracle Big Data Appliance
    X3-2 Starter Rack and Oracle Big Data Appliance X3-2 In-Rack
    Expansion. Oracle Big Data Appliance X3-2 Starter Rack enables
    customers to jumpstart their first Big Data projects with an optimally
    sized appliance. Oracle Big Data Appliance X3-2 In-Rack Expansion
    helps customers easily and cost-effectively scale their footprint as
    their data grows.
--  The new configurations include Oracle Big Data Appliance X3-2 Starter
    Rack, containing six Oracle Sun servers within a full-sized rack with
    redundant Infiniband switches and power distribution units; as well as
    Oracle Big Data Appliance X3-2 In-Rack Expansion, which includes a
    pack of six additional servers to expand the above configuration to 12
    nodes and then to a full rack of 18 nodes.
--  Both new systems include the existing software stack for Oracle Big
    Data Appliance X3-2: Oracle Linux, Oracle Hotspot Java Virtual
    Machine, Cloudera's Distribution Including Apache Hadoop (CDH),
    Cloudera Manager and Oracle NoSQL Database.
--  Integrating Hadoop into existing enterprises, Oracle also provides
    powerful SQL access to HDFS data. This enables organizations to
    leverage their existing Oracle SQL skillsets and tools to seamlessly
    query and analyze data stored in Hadoop.
--  Additionally, Oracle Big Data Appliance X3-2 (full rack configuration)
    is now available through Oracle Infrastructure as a Service (IaaS),
    where organizations can obtain Oracle Big Data Appliance X3-2
    on-premise, behind their firewall, for a monthly fee. With Oracle IaaS
    for Oracle Big Data Appliance, organizations can now eliminate upfront
    capital expenditures for their Big Data needs.
--  The Oracle Big Data Appliance X3-2 product family is comprised of
    Engineered Systems that simplify the implementation and management of
    Big Data by integrating hardware and software to acquire, organize and
    analyze Big Data.


Supporting Quotes

--  "With these new additions to the Oracle Big Data Appliance product
    family, Oracle is meeting the needs of a wider number of customers and
    expanding our offering to handle everything from the first proof of
    concept to a large scale enterprise deployment," said Cetin
    Oezbuetuen vice president, Data Warehousing and Big Data
    Technologies, Oracle. "We are focused on bringing the power of big
    data to our existing enterprise customers, with an integrated platform
    of engineered systems and key capabilities like SQL support for HDFS."
--  "Oracle and Cloudera share a commitment to making Hadoop more
    accessible to an ever-broader set of users and organizations," said
    Tim Stevens, VP of Business and Corporate Development at Cloudera.
    "These new options for deploying Oracle Big Data Appliance are ideal
    for the many enterprises that are just beginning to implement Hadoop
    and need a solution that enables them to start small and scale as
    their requirements grow."


Supporting Resources

--  Oracle and Big Data
--  Oracle Big Data Appliance
--  Oracle Infrastructure as a Service
--  Getting Real About Big Data: Build Versus Buy
--  Connect with Oracle Database via Blog, Facebook and Twitter


About Oracle 
 Oracle engineers hardware and software to work
together in the cloud and in your data center. For more information about
Oracle (NASDAQ: ORCL), visit

 Oracle and Java
are registered trademarks of Oracle and/or its affiliates. Other names
may be trademarks of their respective owners. 


Contact Info

Marcie Bradley 

Joan Levy
Blanc & Otus for Oracle
+ 1.415.856.5110 

� 2013  Marketwire L.P.  All rights reserved.

Comments (0)
This discussion is now closed. We welcome comments on our articles for a limited period after their publication.