BENCHMARK: Get the Q4 2016 BI on Hadoop Benchmark Report
Scale-out BI on BIg Data and OLAP on Hadoop with Virtual Cubes™ Create models with measures and dimensions.just like OLAP, but on your Big Data. You can ‘scale-out’ your BI, because the cube is ‘virtual’. Query multiple years, lines of business, brands and more from 1 ‘virtual cube’. Suddenly millions and billions of rows of data available to query.
AtScale customer Macy’s recognized with prestigious 2016 Ventana Research Business Technology Leadership Award for Big Data
AtScale says its solution can apply its semantic model across big data, without data movement — whether it’s in Hadoop or not, and whether it’s on-premises or in the cloud — meaning that it brings business users to the data rather than moving data into proprietary, purpose-built silos.
Vendors competing with open-source will see their competitive advantage dwindling as the community out-innovates them and vendors like AtScale continue to build on top of the open-source innovation.
Join AtScale at Hortonworks Future of Data Roadshow in NYC, and find out how you can create actionable intelligence for the modern enterprise.
Going to Tableau Conference in November? AtScale is! Come visit us at booth #201, and don't miss Ebates Director of Analytics share how he drove success with BI on Big Data by combining the power of Tableau with the scale of Hadoop and acceleration of AtScale.
In this on-demand webcast you’ll learn from Josh Klahr, VP of Product and Trystan Leftwich, Sr. Architect, how the AtScale BI-on-Hadoop Benchmark tests real-life workloads (big data, small data, high concurrency) across multiple SQL-on-Hadoop engines (Impala, Spark, Hive, Presto...).