Why isn't differential dataflow more popular?
Indirectly answering the question - I've skimmed through the git README, the abstract and all the pictures in the academic paper that it references.<p>I have no idea what this thing does. Can someone explain in simple terms what it does?<p>My organisation is currently investigating on installing Spark on the theory that it connects to databases and we need analytics. As far as I can tell it breaks analytics work into parallel workloads.<p>[0] <a href="https://github.com/TimelyDataflow/differential-dataflow/" rel="nofollow">https://github.com/TimelyDataflow/differential-dataflow/</a>