Hi, Some time ago I wrote an article about Apache Spark: http://blog.brakmic.com/data-science-for-losers-part-3-scala-apache-spark/ http://blog.brakmic.com/dat

Hi, Some time ago I wrote an article about Apache Spark: http://blog.brakmic.com/data-science-for-losers-part-3-scala-apache-spark/ http://blog.brakmic.com/data-science-for-losers-part-3-scala... However, I don't think that writing a comparison of such complex technologies within an introductory article would be of much value to readers. Of course, it would be easy to create some tabular structure containing "pro/contra" about Flink and Spark, but this would be way too simplistic, imho. To be honest, I don't consider myself an expert on Flink and/or Spark so it would be unfair towards my readers to embed such a comparison within the article. But a properly written comparison could be of value for those who have to decide what kind of processing (batch/streaming/machine learning etc.) they need to fulfill some specific (that is, "business") tasks. Kind Regards, Harris