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The 10 Coolest Big Data Startups Of 2017 (So Far)

Demand for big data products and services is growing more than 18 percent a year and that's giving rise to a steady stream of startups bringing their big data technology to the market.

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CEO: Dave Mariani

Hadoop may be popular for collecting and managing big data, but accessing that data to analyze and derive value from it can be problematic.

AtScale develops software that allows popular business intelligence tools like Tableau and Qlik to access data stored in Hadoop clusters, essentially turning Hadoop into an online analytical processing server that can be tapped for multidimensional analysis.

AtScale, founded in 2013 and based in San Mateo, Calif., snagged a patent for the ability of its calculation engine to run against any BI visualization tool. In June the company launched AtScale 5.5 with new capabilities including high-availability deployment, prediction-defined aggregates, and support for complex business use cases and analytical models.

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