New Additions to the Oracle Big Data Appliance Product Family Help Customers Jumpstart Initial Big Data Projects and Scale More Cost-Effectively Oracle Announces Oracle Big Data Appliance X3-2 Starter Rack, Big Data Appliance X3-2 In-Rack Expansion, and Big Data Appliance Infrastructure as a Service DENVER, CO -- (Marketwired) -- 04/09/13 -- COLLABORATE 13 -- Oracle (NASDAQ: ORCL) 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 www.oracle.com. Trademarks 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 Oracle +1.530.214.8068 email@example.com Joan Levy Blanc & Otus for Oracle + 1.415.856.5110 firstname.lastname@example.org
New Additions to the Oracle Big Data Appliance Product Family Help Customers Jumpstart Initial Big Data Projects and Scale More
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