Home News Press Releases When Your Database Analytics Environment Isn't Large Enough, Why Size Matters

University at Buffalo Applies XtremeData's dbX Data Warehousing Appliance

Program's Massive Data Sets Demand Fresh Approach to Accelerating Access to New Knowledge --- Schaumburg, IL -- September 7, 2010 -- XtremeData, an innovator providing solutions for large data analytics and complex computing problems, today announced that the Data Intensive Computing Initiative (Di2) at the University at Buffalo, SUNY, has adopted dbX™. XtremeData's dbX offering constitutes the next-generation in database appliances: the only systems created specifically for unconstrained analysis and exploration of very large data sets.... Read Full Story >

Relational Solutions Selects XtremeData to Accelerate Hosted Analytic Services by 10X

Demand Signal Repository Leader Creates Competitive Advantages with Dramatically Deeper And Faster Consumer Data Insights SCHAUMBURG, IL--August 16, 2010 - XtremeData, the analytical database software and appliance specialist, today announced that Ohio-based Relational Solutions, Inc., the leading provider of enterprise demand signal repository (DSR) solutions for the consumer packaged goods (CPG) industry, has adopted XtremeData's dbX data warehouse appliance to empower their customers with deeper and faster analytic insights.... Read Full Story >

When Your Database Analytics Environment Isn't Large Enough, Why Size Matters

Supercomputing Online : Monday, 14 September 2009

To succeed in today's data rich environment, Business Intelligence (BI) experts are looking to un-archive data and put it back into the analytics domain. "Life Events" are now being analyzed using super-computing resources. Data about having children, buying a new car, or even simple TV purchases do not happen every 6 months by the same consumer. To understand your customer, their family, their patterns over the full life of your relationship with them, data warehousing experts want to include up to 10 or 20 years of data into their analytic environments. All they need is good performance, and a beneficial return on investment (ROI) to get the budget for their programs.