I think that's right. My testing (not very scientific) puts it on par for redshift for the datasets I use.
On Sunday, August 7, 2016, Edward Capriolo <edlinuxg...@gmail.com> wrote: > A few entities going to "kill/take out/better than hive" > I seem to remember HadoopDb, Impala, RedShift , voltdb... > > But apparent hive is still around and probably faster > http://www.slideshare.net/hortonworks/hive-on-spark-is- > blazing-fast-or-is-it-final > > > > > On Sun, Aug 7, 2016 at 9:49 PM, 理 <wwl...@126.com > <javascript:_e(%7B%7D,'cvml','wwl...@126.com');>> wrote: > >> in my opinion, multiple engine is not advantage, but reverse. it >> disperse the dev energy. >> consider the activity ,sparksql support all tpc ds without modify >> syntax! but hive cannot. >> consider the tech, dag, vectorization, etc sparksql also has, seems >> the code is more efficiently. >> >> >> regards >> On 08/08/2016 08:48, Will Du >> <javascript:_e(%7B%7D,'cvml','will...@gmail.com');> wrote: >> >> First, hive supports different engines. Look forward it's dynamic engine >> switch >> Second, look forward hadoop 3rd gen and map reduce on memory will fill >> the gap >> >> Thanks, >> Will >> >> On 2016年8月7日, at 20:27, 理 <wwl...@126.com >> <javascript:_e(%7B%7D,'cvml','wwl...@126.com');>> wrote: >> >> hi, >> sparksql improve so fast, both hive and sparksql are similar, so >> hive will lost or not? >> >> regards >> >> >> >> >> >> > -- Want to work at Handy? Check out our culture deck and open roles <http://www.handy.com/careers> Latest news <http://www.handy.com/press> at Handy Handy just raised $50m <http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led by Fidelity
