HI MIchael, Great work. I enjoyed your strangeloop talk.
In the README.md, you stated that Onyx "competes against Storm, Cascading, Map/Reduce, Dryad, Apache Sqoop, Twitter Crane". Could you please shed some light on a comparison with Spark? Apparently Spark is on the road to become a favorite among some data scientists. In a broader sense, I am wondering what would be the Clojure's answer for Spark, having seen a huge boost to Scala by the popularity of Spark. It would be great to hear some opinions here. Thanks. -huahai On Friday, September 19, 2014 1:24:12 PM UTC-7, Michael Drogalis wrote: > > I'm happy to open source Onyx, a new kind of distributed data processing > framework for Clojure and the JVM. > > Blog post: > http://michaeldrogalis.tumblr.com/post/96727357001/onyx-distributed-data-processing-for-clojure > > GitHub: https://github.com/MichaelDrogalis/onyx > > Starter repo: https://github.com/MichaelDrogalis/onyx-starter > > Thanks! > -- @MichaelDrogalis > -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en --- You received this message because you are subscribed to the Google Groups "Clojure" group. To unsubscribe from this group and stop receiving emails from it, send an email to clojure+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
