IBM Triples Performance in New PureData System for Analytics

And what's new, exactly?

 

"It's undergone a complete refresh of the underlying architecture, which will drive up to a 3x improvement in performance and allow us to store up to 50 percent more data per rack," Peter McCaffrey, director of marketing for IBM PureSystems, told POWER IT Pro. "So we've got far greater density, which is good for clients who have more and more data and have limitations in their data center environment."

IBM reports that the New York Stock Exchange (NYSE) relies on PureData System for Analytics to handle an enormous volume of data in its trading systems -- and to identify and investigate trading anomalies faster and easier.

 

“NYSE needs to store and analyze seven years of historical data and be able to search through approximately one terabyte of data per day, which amounts to hundreds in total,” notes Emile Werr, head of product development, NYSE Big Data Group and global head of Enterprise Data Architecture and Identity Access Management for NYSE Euronext. 

 

“The PureData System for Analytics powered by Netezza system provides the scalability, simplicity, and performance critical in being able to analyze our big data to deliver results eight hours faster than on the previous solution, which in our world is a game changer when you look at the impact on businesses every second that passes.” 

 

And IBM is touting another example: The Nielsen Company, a leading global information and measurement company, provides clients with a comprehensive understanding of consumers and their behavior by leveraging Netezza technology to deliver complex analytic capabilities, IBM reports.

 

“Recently, Nielsen tested two major competitors with their latest products to tackle our highly complex analytic workload,” notes John Naduvathusseril, chief data architect for the Nielsen Company. “Both vendors did not match up on consistent performance, simplicity, data refresh speed, and overall performance of our reporting needs. Other vendors require customization, which we cannot sustain and they still did not deliver the kind of performance as the PureData System for Analytics.”