AtScale releases industry’s most comprehensive BI-on-Hadoop Benchmark and reveals key trends on the performance of major analytical engines for Hadoop
San Mateo, California, October 18, 2016 — AtScale, the first company to provide business users with speed, security and simplicity for BI on Hadoop, released today the results of its reference performance study: The Business Intelligence Benchmark for SQL-on-Hadoop engines.
The benchmark is the world’s most comprehensive test of Business Intelligence workloads on Hadoop. The study reveals the strengths and weaknesses of the industry’s most popular analytical engine for Hadoop – Impala, SparkSQL, Hive and, new in this version, Presto.
Get a complimentary copy of the full report @ www.atscale.com/benchmark
“As enterprises adopt Hadoop more broadly, business intelligence (BI) and analytical use cases on Hadoop have expanded from strong, but limited, adoption among data scientists.” says John L Myers, Managing Research Director at Enterprise Management Associates (EMA), “Now, organizations need to make the data within their Hadoop clusters available and ‘business critical’ to a wider business stakeholder audience. BI on Hadoop is a logical use case to help them accomplish that growth in adoption and acceptance.”
Some surprising findings that surfaced include:
Since the first edition of this study back in February 2016, AtScale researchers noticed significant improvements to the benchmark results: “The increasing demand for BI-on-Hadoop workload has truly driven the community to innovate in a short period of time,” says Josh Klahr, VP of Product at AtScale. “The communities supporting the open source SQL-on-Hadoop projects have been working diligently to advance innovation in this field. We’ve aligned our vision with these open-source engines since day one we are pleased to see that this bet is paying off: by simply supporting the latest versions of Impala, Spark SQL and Hive, AtScale customers are now querying their Big Data up to 4x faster than six months ago.”
Based on the results of the benchmark AtScale contends that vendors competing with open-source will see their any remaining advantages dwindling as the community out-innovates them and vendors like AtScale continue to build on top of the open-source innovation.
BI on Hadoop: A Key Workload
As indicated in the latest Hadoop Maturity Survey, Business Intelligence is now a top workload for Hadoop, ahead of Data Science and ETL. The maturation of a number of technologies has enabled Business Intelligence to be deployed broadly, creating a unique opportunity for business users in the enterprise to finally be able to adopt Hadoop.
Until now, the industry has provided little guidance on the performance of Business Intelligence workloads on Hadoop. This has left technology evaluators with a void in measuring each engine against their own needs and workloads. The AtScale Benchmark Study is aimed at helping evaluators understand the differences across the leading SQL-on-Hadoop engines.
Additional Key Findings:
AtScale’s experience with each engine at large enterprises like Comcast, American Express, Aetna, Macy’s, Home Depot, Groupon and many others helped guide the framework and methodology used for the industry’s most comprehensive BI-on-Big-Data Benchmark.
To find out more about how AtScale works, simply go to www.atscale.com/try
AtScale makes BI work on Hadoop. With AtScale, business users get interactive and multi-dimensional analysis capabilities, directly on Hadoop, at maximum speed, using the tools they already know, own and love – from Microsoft Excel to Tableau Software to QlikView. Built by Big Data Veterans from Yahoo!, Google and Oracle, AtScale is already enabling the BI on Hadoop revolution at major corporations across healthcare, telecommunications, retail and online industries. To see how AtScale can help you, go to www.atscale.com/try