Performance enhancements are a given in any database or data warehouse appliance upgrade these days. The real competition has shifted to support for analytic functions and applications handled inside the database.
Netezza, Aster Data Systems and InfoBright last week announced their latest salvoes in whats shaping up to be an analytics arms race. Netezza announced new i-Class analytics functionality due in August that will enable companies using its TwinFin data warehousing platform to program in-database analytics in various languages and approaches including Java, C, C++, Python and Hadoop MapReduce.
In-database processing speeds analysis because it eliminates the step of moving data out of and results back into the warehouse. Support for non-SQL programming lets developers stick with the languages and approaches they are used to.
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