Hi Vasia, thanks for sharing. 1. I would like to add a couple resources about *BigBench*, the Big Data benchmark suite that you are referring to: https://github.com/intel-hadoop/Big-Data-Benchmark-for-Big-Bench and also http://blog.cloudera.com/blog/2014/11/bigbench-toward-an-industry-standard-benchmark-for-big-data-analytics/
2. *BigDataBench* is also an open source Big Data Benchmarking suite from both industry and academia. As a subset of BigDataBench, BigDataBench-DCA is China’s first industry-standard big data benchmark suite: http://prof.ict.ac.cn/BigDataBench/industry-standard-benchmarks/ It comes with *real-world data sets* and *many workloads*: TeraSort, WordCount, PageRank, K-means, NaiveBayes, Aggregation and Read/Write/Scan and also a *tool* that uses Hadoop, HBase and Mahout. This might be inspiring to build a Big Data Benchmarking suite for Flink! Regards, Slim Baltagi Apache Flink Knowledge Base ( Now with over 300 categorized web resources!) http://sparkbigdata.com/component/tags/tag/27-flink -- View this message in context: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Benchmark-results-between-Flink-and-Spark-tp1940p1963.html Sent from the Apache Flink User Mailing List archive. mailing list archive at Nabble.com.
