Hi Vinaya 1. Comparing streaming tools ( in this case Storm and Flink) should not be based on performance benchmarks only! For example, slides 16-36 list over 96 criteria, that we identified at Capital One, to compare two streaming tools http://www.slideshare.net/sbaltagi/flink-vs-spark/17
2. Now, if you are focusing on performance only, I'll suggest a few related resources: - Benchmarking Streaming Computation Engines at Yahoo! http://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at December 16, 2015 Code at github: https://github.com/yahoo/streaming-benchmarks - There is some work started by some Flink contributors to create some performance scripts for Flink, Spark, and MapReduce here: There is Apache Flink: Performance and Testing https://github.com/project-flink/flink-perf - Some first numbers on performance of streaming jobs with Apache Flink are here: http://data-artisans.com/high-throughput-low-latency-and-exactly-once-stream-processing-with-apache-flink/ under the section: 'Show me the numbers'. Code used is at: https://github.com/dataArtisans/performance - Yangjun Wang is currently working on his Master thesis at Aalto university in Helsinki, Finland. The topic of his thesis is about building a standard benchmark system for streaming processing systems like Apache Storm, Spark and Flink. Code at github https://github.com/wangyangjun/StreamBench/tree/master/StreamBench 3. I am giving a talk in NYC on Tuesday February 2nd, 2016 on Apache Flink and I will be touching a bit on benchmarks http://www.meetup.com/New-York-City-NYC-Apache-Flink-Meetup/events/228113118/ You are welcome to attend. Thanks Slim Baltagi -- View this message in context: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Comparison-of-storm-and-flink-tp4468p4469.html Sent from the Apache Flink User Mailing List archive. mailing list archive at Nabble.com.
