I'm in the midst of a heated debate about the use of Redshift v Spark with a colleague. We keep trading anecdotes and links back and forth (eg airbnb post from 2013 or amplab benchmarks), and we don't seem to be getting anywhere.
So before we start down the prototype /benchmark road, and in desperation of finding *some* kind of objective third party perspective, was wondering if anyone who has used both in 2014 would care to provide commentary about the sweet spot use cases / gotchas for non trivial use (eg a simple filter scan isn't really interesting). Soft issues like operational maintenance and time spent developing v out of the box are interesting too... -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-v-Redshift-tp18112.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
