Adding to the Oracle VM Templates already available for dozens of Oracle products, Oracle has introduced new Oracle Exalogic Elastic Cloud Oracle VM Templates for Oracle Applications—the first Oracle VM Templates specifically built for Oracle Exalogic. Oracle VM Templates are virtual machine images based on Oracle’s expertise and best practices that contain prebuilt, preinstalled, preconfigured, and ready-to-run software applications.
Oracle Exalogic Elastic Cloud Oracle VM Templates are now available for Oracle E-Business Suite 12.1.3, Oracle’s JD Edwards EnterpriseOne 184.108.40.206, Oracle’s PeopleSoft PeopleTools 8.52, and Oracle’s Siebel Customer Relationship Management 220.127.116.11 and 8.2.2. The new Oracle VM Templates for Oracle Applications can help decrease application deployment time to minutes instead of weeks, simplify scaling of Oracle Applications up and down to meet peak demands, and speed patching with prebuilt templates for Oracle Application patchsets.
“Oracle Exalogic has been engineered from the ground up to run business applications and middleware with less complexity and lower total cost of ownership,” says Hasan Rizvi, executive vice president of middleware development at Oracle. “Oracle Exalogic Oracle VM Templates for Oracle Applications take advantage of Oracle’s integrated hardware and software stack to deliver the predictable, low-risk deployment process that our customers need for their multi-tier, business-critical applications, in either a conventional or cloud deployment model.”
Oracle has released Oracle NoSQL Database 11g Release 2, a highly scalable, low-latency, key-value database for real-time big data workloads. A key component of the Oracle Big Data platform, Oracle NoSQL Database 11g Release 2 enables organizations to easily manage high-velocity transactional data generated by Web-based applications, social media, sensors, smart meters, and communications services.
“Oracle continues to drive innovation with its unmatched technology portfolio, encompassing all aspects of data management. Oracle NoSQL Database 11g Release 2 provides developers with that ‘last mile’ infrastructure to enable crucial real-time interaction between an organization’s applications and its customers,” says Vaishnavi Sashikanth, vice president of advanced analytics at Oracle. “It provides a key mechanism for enterprises to maximize the value of big data.”
The latest release of Oracle RightNow Cloud Service, part of Oracle Cloud, integrates Oracle RightNow Chat Cloud Service with Oracle Engagement Engine Cloud Service. This live chat software provides an easy and effective way for organizations to engage customers in the purchase process or when they need assistance resolving an issue.
“With the latest release of Oracle RightNow Cloud Service, organizations can now take engagement with their customers to a new level in order to strengthen relationships that achieve greater business results. Through the ability to have more proactive, personalized engagements, organizations can increase the likelihood of a sale and reduce time to service resolution,” says David Vap, group vice president of product development at Oracle. “With our latest investments, the functionality of Oracle RightNow Chat Cloud Service is unparalleled in the market.”
Oracle has introduced new software enhancements to the Oracle SPARC SuperCluster engineered system that enable customers to consolidate any combination of mission-critical enterprise databases, middleware, and applications on a single system and rapidly deploy secure, self-service cloud services. Oracle SPARC SuperCluster can deliver 10 times application consolidation ratios, using new layered, zero-overhead virtualization combined with the database offload functions of Oracle Exadata storage servers and efficient networking. Compared to customer-integrated systems, Oracle SPARC SuperCluster delivers 5 times faster time to value, cutting time for installation to production from months to weeks.
“Only Oracle SPARC SuperCluster combines layered, zero-overhead virtualization for efficient consolidation with a self-service cloud platform for database, middleware, and applications,” says Ganesh Ramamurthy, vice president of engineering at Oracle. “SPARC SuperCluster customers are already reporting 10 times or higher consolidation ratios and dramatic reductions in the time and effort required to deploy new applications. The SPARC SuperCluster’s new ability to quickly and securely deploy new cloud services provides our customers a safe, cost-effective transition to a cloud-based infrastructure.”
Oracle has agreed to acquire Instantis, a leading provider of cloud-based and on-premises project portfolio management solutions. Oracle plans to combine Instantis with capabilities from Oracle’s Primavera solutions and Oracle Fusion Applications.
Oracle NoSQL Database 11g Release 2 New Features
Deploying an Application to a Java Cloud Service
Oracle Real User Experience Insight: Basic Navigation, Data Structures, and Workflows
“NetBeans IDE 7.3 Beta Screencasts”
“Exadata Smart Flash Log Self-Study Module”
“By adding Instantis, Oracle can help customers gain complete visibility and control of their mission-critical project initiatives using a top-down approach suited for projects throughout the entire organization,” says Mike Sicilia, senior vice president and general manager, Oracle Primavera.
Oracle has agreed to acquire DataRaker, a provider of a cloud-based analytics platform that enables electric, gas, and water utilities to leverage vast amounts of data to optimize operational efficiency and improve the customer experience.
“Big data created by smart meters and sensors has presented utilities with an enormous opportunity to improve operations and deliver better customer service by acting on the unique insights that can only be found by understanding the massive amounts of data coming from their customers and networks,” says Rodger Smith, senior vice president and general manager, Oracle Utilities. “With DataRaker, Oracle can provide customers a complete and integrated set of products to further unlock efficiencies and create data insights that maximize business value.”
Oracle has made a minority investment in Engine Yard, a cloud development platform that supports Ruby, PHP, and Node.js Web development languages.
“Developers building new Web applications in Ruby, PHP, and Node.js to meet growing demands associated with mobile and social computing need a robust Web PaaS offering,” says Thomas Kurian, executive vice president of product development at Oracle. “We are looking forward to integrating Oracle Cloud with Engine Yard’s platform to further extend our PaaS capabilities.”
Oracle has agreed to acquire Eloqua, a provider of cloud-based marketing automation and revenue performance management software. The combination of Oracle and Eloqua is expected to create a comprehensive customer experience cloud that will provide a highly personalized experience across channels, create brand loyalty, and more. “Eloqua’s leading marketing automation cloud will become the centerpiece of Oracle Cloud’s marketing solution,” says Thomas Kurian, executive vice president of product development at Oracle.
Oracle has introduced the latest releases of Oracle Big Data Appliance and Oracle Big Data Connectors. Oracle Big Data Appliance X3-2 has been upgraded to include Intel’s new processors and the latest release of CDH (Cloudera’s Distribution, including Apache Hadoop) and Cloudera Manager, as well as Oracle Enterprise Manager Plug-In for Oracle Big Data Appliance. Oracle Big Data Connectors Release 2 has been enhanced to enable greater SQL access to Hadoop from Oracle Database and to enable more-transparent access to Hadoop from Oracle R Distribution.
“An influx of raw data sets is flooding every enterprise. However, before businesses can take advantage of the potential opportunity, they face a significant challenge in organizing these diverse datasources,” says Cetin Ozbutun, vice president of data warehousing and big data technologies at Oracle. “The latest updates further improve the abilities of our customers to optimize big data workloads and integrate them with their data warehouses to easily analyze all data throughout the enterprise.”