FRAMINGHAM, Mass., Jan. 31, 2005 -- Netezza Corporation today announced that Ahold USA, a division of Netherlands-based Royal Ahold - the world's third-largest food retailer - will deploy the enterprise-class Netezza Performance Server(R) (NPS(R)) data warehouse appliance as its Customer Data Warehouse (CDW) platform. As part of its strategy to optimize store operations, increase profitability and improve customer experience throughout nearly 1,200 supermarkets, Ahold selected the NPS system to perform faster, more complex analyses of its terabytes of customer and operational data.

As an early adopter of data warehousing technology, Ahold understands the significant value that fast, comprehensive data analysis brings to organizations dealing with large volumes of data. By replacing its legacy Customer Data Warehouse systems with the NPS data warehouse appliance, Ahold will again be at the forefront of the food retail industry because it can now run a wide variety of interactive analyses, while dramatically reducing query times. For example, Ahold can now fully leverage the detailed data it collects to perform faster and more sophisticated market basket analyses for its store chains, which include Stop & Shop, Tops Markets, Giant-Carlisle and Giant-Landover.

"Ahold views the data warehouse as central to the way we manage product availability and operations and increase customer satisfaction," said Al Clevenger, Director of Data Management, Ahold USA. "We chose the NPS system because it delivers the increase in performance we wanted without causing us to re-engineer our entire CDW. Now, we can achieve results in minutes instead of hours, eliminating stale data and enabling us to be even more flexible and targeted with our decisions."

"Ahold is another example of a world-class company that has selected the NPS system because of its unbeatable performance and simplicity," said Jit Saxena, co-founder and CEO, Netezza Corp. "Traditional approaches to analyzing data can't keep pace with the NPS system. Our customer base continues to grow across data-intensive industries like retail, telecommunications and outsourced analytic services because forward-looking companies like Ahold understand the value that the NPS system brings to their operations."

The Netezza Performance Server system is the only data warehouse appliance built specifically to analyze terabytes of detailed data - 10 to 50 times faster than existing data warehouses, at half the cost. The NPS system stores, filters and processes terabytes of records within a single unit, analyzing only the relevant information for each query. Netezza has placed the CPU power next to the data, allowing the NPS system to speed through processes that would occupy most data warehouse systems for hours, or even days, thereby enabling dramatic increases in productivity across the organization. Customers who have recognized the performance benefits of Netezza's approach include Acxiom Corporation, Ahold USA, AT&T Wireless, CNET Networks, Epsilon, Orange UK, Premier, Inc., Shoppers Drug Mart Corporation and The TJX Companies.

About Netezza Corporation

Netezza is a fast-growing provider of enterprise-class data warehouse appliances that deliver breakthrough performance and ease-of-use at a fraction of the cost of traditional data warehouses. The Netezza Performance Server system enables Fortune 1000 customers with terabytes of dynamic, detailed data to dramatically simplify even the most complex Business Intelligence (BI) initiatives. By architecturally integrating database, server and storage within a single appliance, the NPS system delivers 10 to 50 times the performance at half the cost of existing systems. Founded in 2000 and based in Framingham, Mass., the Company has raised more than $68M from leading venture capital firms, including Matrix Partners, Charles River Ventures, Battery Ventures, Orange Ventures, Sequoia Capital and Meritech Capital Partners. For more information about Netezza, please visit www.netezza.com.

Netezza Corp. 
Virginia Lux, 508-665-6800 
vlux@netezza.com