IBM PureData System

Meeting big data challenges with simplicity, speed and lower cost

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PureData System for Analytics


IBM® PureData™ for Analytics, powered by Netezza technology, is changing the game for data warehouse appliances (again). Designed to help you unlock data’s true potential, the new IBM PureData System for Analytics is:

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IBM PureData System for Analytics, powered by Netezza technology


Client Testimonials


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Bon-Ton optimizes the client experience with IBM PureData for Analytics

Bon-Ton Stores, with 275 department stores in 23 states, was challenged to deliver an innovative and convenient shopping experience to today’s empowered shoppers. Bon-Ton turned to IBM PureData System for Analytics to support a big data and analytics solution which replaced slower and more dispersed data collection and analysis.

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AmBank’s Journey to Greater Insights with IBM PureData System for Analytics

Processing hundreds of millions of financial records daily generates massive amounts of data for Malaysia's AmBank. Ambank turned to the IBM PureData System for Analytics to spot new trends and make better, more informed decisions for future initiatives.

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Premier Healthcare Alliance Harnesses Big Data for Optimized Healthcare Processes

To maintain the largest clinical database in the US, Premier Healthcare Alliance needed an analytic solution to better manage their 2.5 million daily transactions. With the IBM PureData System for Analytics, they achieved exponential improvements in query processing to ensure better and faster patient care.

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Seattle Children’s Hospital turns Big Data into better care

One of the leading children's hospitals in the U.S. needed a solution to manage and extract valuable insights from vast amounts of complex data.


Built-in expertise

Integration by design

A simplified experience

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Accelerate Big Data Analytics with PureData System for Analytics

Accelerate Big Data Analytics with PureData System for Analytics

Learn more about the PureData System for Analytics solution’s architecture, performance characteristics, deployment models, and customer use cases.


Datasheets