Exadata Versions

After Oracle formally acquired SUN in 2010, Oracle CEO Larry Ellison disclosed to the public that it will compete with and beat IBM in high-end systems and compete with SAP in the application area And beat it. In 2013, Oracle's high-end M systems redefined extreme performance by defeating IBM Power systems in terms of price / performance and memory capacity. In addition, Oracle SaaS applications have been fully brought to market, with subscriptions up 35% by the end of the year. & nb ...

(reporter Wang Yang) talked about SAP and Oracle, and other incompatible enemies, but also the dual identity of friends (the industry appears to be more hostile identity) to become the industry's highly concerned about a pair of children. And this pair of friends for many years old enemy recently again. As the world's top ranked first ERP software manufacturers and the world's largest database software companies, the two powerful collision is bound to spark Splash, and due to the partner face under the both sides of a smile but actually dark war. A long time ago, SAP launched the largest event in the history of the IT industry climax ...

The battle for architecture between ARM and Intel processors continues. Intel x86 advanced in the industry's status is indeed unshakeable, but ARM significant power advantages, the future will obviously be more attractive. That kind of CPU is the most able to meet future needs? ARM 2011 released the Cortex-A15 processor, which uses multi-core out of order superscalar design, clocked at up to 2.5 GHz. Cortex-A15 is of great importance as it runs counter to the previous generation of ARM designs.

Oracle has announced a formal launch of Oracle's Big Data Machine, Oracle, appliance, which will help customers maximize the business value of large data. Oracle Large Data machine is a hard, software integration System, integrating the Cloudera company's distribution including Apache Hadoop and Cloudera Manager, as well as an open source R. The system employs an Oracle Linux operating system with an o ...

Guide: Yahoo CTO raymie Stata is a key figure in leading a massive data analysis engine. IBM and Hadoop are focusing more on massive amounts of data, and massive amounts of data are subtly altering businesses and IT departments. An increasing number of large enterprise datasets and all the technologies needed to create them, including storage, networking, analytics, archiving, and retrieval, are considered massive data. This vast amount of information directly drives the development of storage, servers, and security. It also brings a series of problems to the IT department that must be addressed. Information...

Following the launch of a new generation of SPARC T4 servers in September 2011, Oracle recently unveiled its latest technology roadmap for SPARC servers and Solaris operating systems. Oracle System division director Marshall Choy said in an interview recently that in the next five years Oracle will apply SPARC processors to two server product lines, the T-Series energy-efficient servers and M-series high-end business-critical servers. "According to the SPARC processor performance upgrade plan, by 2015, SPARC ...

Oracle recently announced the launch of the industry's first cloud operating system Oracle Solaris 11. Oracle Solaris 11 meets the security, performance, and scalability requirements of cloud-based environments, enabling customers to run the most demanding enterprise applications in a private cloud, hybrid cloud, or public cloud. Is the industry's first fully virtualized operating system, providing comprehensive and built-in virtualization capabilities for operating systems, networks, and storage resources. In addition to the built-in virtualization features, Oracle Solaris 11 is also available for x86 based ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

Until the recent 2009, Ellison was also the largest cloud-computing attacker in the IT industry. He questioned what the cloud was, accusing VCs of being fashionable and refusing to accept cloud computing as the current buzzword. Since then, however, Ellison's view of cloud computing seems to have changed. Now, Ellison stands out to tell the benefits of Oracle's growing cloud of products. Mr Ellison even disclosed last week that Oracle would release Oracle Cloud from SaaS (software as a service) and PAAs (Platform as service ...) at the OpenWorld show next week.

"Tenkine Server channel May 21 News" With the advent of the big data age, the infrastructure that hosts the big data faces changes to cope with the big data revolution. Large data is unstructured information of unprecedented scale and form, with more and more sensor-based mobile devices and output data, the amount of data available will continue to grow exponentially. Large data strategies require changes in the data center infrastructure: storage requirements that result from large data increase by 60% to 80% a year, and given this rapid growth and current cost constraints, it buyers should choose to be able to ...