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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 >

FinTech-Infrastructure Article

Dec 29th, 2008 - FinTech-Infrastructure published the XtremeData article on Database Analytics in the Financial Markets.

Looking at the Future of Financial Data Analytics

For IT pros in financial services, keeping up with the speed of business is becoming increasingly tougher and more expensive. The information demands from trading, risk management, fraud prevention and financial modelling groups are too often not being met with the existing computing infrastructure. Performance is falling short while IT budgets are simultaneously being constrained. At the same time, data complexity is rapidly rising and fueling wider, deeper analysis, which is essential to developing predictive models that enable pre-emptive business strategies. What is needed for next-generation financial decision support computing are standards-compliant systems that deliver significantly more computing power-per-dollar. An attractive system would offer performance in the range of 1TB/minute of sustained SQL processing, while using substantially less energy and offering a roadmap to next-generation technology.

Effectively catching up with business intelligence processing requirements in the near future requires an entirely new category of standardised high-performance database appliances, running full-table scans and ad-hoc queries up to two orders of magnitude faster than anything currently available. This article explains why new system capabilities like these are needed to deliver what’s becoming essential to the financial IT infrastructure and what they might look like.

To read the entire article go to: FinTech-Infrastructure