Marlborough, Mass. – July 7, 2008 – Netezza Corporation (NYSE Arca: NZ), the global leader in data warehouse appliances, today announced that CN is migrating and consolidating numerous data marts from its legacy environment to the Netezza Performance Server® (NPS®) data warehouse appliance to provide increased performance, user accessibility and scalability for strategic operational business intelligence (BI) applications.
CN, a leader in the North American rail industry, is leveraging Netezza's innovative appliance technology to run detailed analysis of traffic on its network of more than 20,000 route miles across Canada and the US. The first application CN has launched on Netezza runs detailed analyses on its railroad cars, capturing information on all events that take place with the equipment and identifying where traffic is located. CN can now run queries within minutes that would not complete before due to the imposed time limits on queries from the mainframe data warehouse.
Data load processes have also dramatically improved with CN's NPS implementation. "With our incumbent data warehouse, we had to closely monitor our load times with regard to user access," said Dirk de Wilde, data architect at CN. "Netezza has allowed our users access to the system virtually any time they want."
"It's exciting to see customers across a variety of industries leveraging the Netezza appliance to move their business forward more efficiently. As operational BI becomes increasingly important to organizations worldwide, Netezza continues to emerge as a leader that provides unprecedented performance, flexibility and scalability for these applications, while delivering a solution that is very cost-effective in comparison to traditional data warehouse solutions," said Jit Saxena, Netezza's chairman and CEO.
Designed specifically for high-performance, terascale analytics, the NPS system architecturally integrates a relational database, server and storage into a single compact and power-efficient unit. The system's advantage comes from its patented Intelligent Streaming™ design. Netezza has placed processing power next to the data, so analysis occurs at the source at streaming speeds, delivering 10-100 times the performance of traditional systems at a fraction of the cost. Analyses that took days now take just seconds. This means a dramatic increase in productivity across the enterprise and faster time to value for business initiatives. Netezza appliances are changing the way organizations leverage information, creating a powerful analytic foundation for a new generation of business analytics that improve strategic decision-making and drive results.
CN – and its operating railway subsidiaries – spans Canada and mid-America, from the Atlantic and Pacific oceans to the Gulf of Mexico, serving the ports of Vancouver, Prince Rupert, B.C., Montreal, Halifax, New Orleans, and Mobile, Ala., and the key metropolitan areas of Toronto, Buffalo, Chicago, Detroit, Duluth, Minn./Superior, Wis., Green Bay, Wis., Minneapolis/St. Paul, Memphis, St. Louis, and Jackson, Miss., with connections to all points in North America.
Netezza (NYSE Arca: NZ) is the global leader in data warehouse appliances that dramatically simplify high-performance analytics for business users across the extended enterprise, delivering significant competitive and operational advantage in today's information-intensive marketplaces. The Netezza Performance Server® (NPS®) family of streaming analytic™ appliances brings appliance simplicity to a broad range of complex data warehouse and analytic challenges. Customers who have realized the benefits of Netezza appliances include Ahold, Amazon.com, CNET Networks, Debenhams, Department of Veterans Affairs, Epsilon, Nationwide, Neiman Marcus, Orange UK, Premier, Inc., Ross Stores, Ryder System, Inc., The Carphone Warehouse, The Sherwin-Williams Company and Virgin Media. Based in Framingham, Mass., Netezza has offices in Washington, DC, Canada, the United Kingdom and Asia Pacific. For more information about Netezza, please visit www.netezza.com.
Payal Cudia or Ann McDonough