#Businessintelligence is the top use-case for IT organizations implementing #Hadoop, according to a large industry survey last year. Now a new benchmark study shows which Hadoop ecosystem tools are best for particular types of BI queries. The recently released study's findings offer perspective for IT organizations on a handful of SQL-on-Hadoop engines, such as #Hive, #Impala, #Presto, and #Spark SQL. They provide insights on their performance for particular kinds of analytic jobs. The benchmark comes from #AtScale, a company that is focused on helping organizations make business intelligence work on Hadoop. "Different engines continue to perform well for different jobs," said Josh Klahr, VP of products at AtScale, in an interview with InformationWeek. "IT organizations should probably be wary about making a bet on just one engine -- like putting everything on Hive or on Impala." This new benchmark released this week is the second edition. It provides insight into how the performance of each of these engines has improved since the last report, released 6 months ago.
http://www.informationweek.com/big-data/software-platforms/bi-on-hadoop-success-7-things-to-know/d/d-id/1327225
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