Framingham, Mass. — April 1, 2008 — Netezza Corporation (NYSE Arca: NZ), the global leader in data warehouse and analytic appliances, today introduced a limited-edition range of its award-winning Netezza system. Expected to become an instant industry collectible, the systems can now be purchased in a variety of color finishes – pink, blue, red or silver. The standard gun-metal gray unit will continue to be the default option for orders requiring eight or more units, to ensure availability.

Affectionately known as ‘the Netezza’ by customers and partners, the systems not only offer unparalleled processing performance, but the secret sauce of its innovative design is also leading the way in effective power and cooling management – making it a truly green option for any data center.

For further information on this limited offer, or to receive SKU details, please email apr_f01@netezza.com.

About Netezza Corporation (NYSE Arca: NZ)
Netezza (NYSE Arca: NZ) is the global leader in data warehouse and analytic 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 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, the United Kingdom and Asia Pacific. For more information about Netezza, please visit www.netezza.com.

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Netezza is a trademark of Netezza Corporation. Other names may be trademarks or service marks of their respective owners.

Follow this link for more information on Netezza data warehouses.