Why Google BigQuery excels at BI on big data concurrency

If you’re trying to do business intelligence (BI) on big data and the capability to handle large number of concurrent queries is a key issue for you, Google BigQuery may well be the way to go, according to a new Business Intelligence Benchmark released Thursday by AtScale, a startup specializing in helping organizations enable BI on big data.

[ Related: Google BigQuery update aims for enticing Hadoop users ]

“Concurrency has been an Achilles’ Heel, a challenge for SQL-on-Hadoop,” says Josh Klahr, vice president of product management for AtScale.

But AtScale’s benchmark found concurrency to be BigQuery’s greatest strength. Its serverless model means concurrent query performance on small data sets shows no query degradation, even at query volumes above 25 concurrent BI users.

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