On Wed, Jul 9, 2014 at 1:52 AM, Keith Simmons <ke...@pulse.io> wrote:
> Impala is *not* built on map/reduce, though it was built to replace Hive, > which is map/reduce based. It has its own distributed query engine, though > it does load data from HDFS, and is part of the hadoop ecosystem. Impala > really shines when your > (It was not built to replace Hive. It's purpose-built to make interactive use with a BI tool feasible -- single-digit second queries on huge data sets. It's very memory hungry. Hive's architecture choices and legacy code have been throughput-oriented, and can't really get below minutes at scale, but, remains a right choice when you are in fact doing ETL!)
