New Data Analytics Benchmark Puts Stopwatch to Hadoop-based Systems

Ladies and gentlemen, start your clusters. A new data analytics and machine learning benchmark has been released by the Transaction Processing Performance Council (TPC) measuring real-world performance of Hadoop-based systems, including MapReduce, Apache Hive, and Apache Spark Machine Learning Library (MLlib). Called the TPCx-BB benchmark and downloadable at the TPC site, it executes queries frequently performed by companies in the retail industry running customer behavior analytics. HPE has already seized the benchmark pole position, as it were, issuing results showing that its current-generation ProLiant DL380 G9 server, using Xeon E5-v4 processers, came in with a 27 percent performance gain over the previous-generation DL380 server. The TPCx-BB (BB stands for “Big Benchmark”) is designed to incorporate complex customer analytical requirements of retailers, according to TPC. Whereas online retailers have historically recorded…

Link to Full Article: New Data Analytics Benchmark Puts Stopwatch to Hadoop-based Systems

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