In addition, there is also lot more coming with LLAP. http://www.slideshare.net/HadoopSummit/llap-subsecond-analytical-queries-in-hive
There is also no fine grained access control natively in Spark. LLAP would help with that as well - http://www.slideshare.net/HadoopSummit/finegrained-security-for-spark-and-hive On Sun, Aug 7, 2016 at 7:24 PM, Marcin Tustin <mtus...@handybook.com> wrote: > 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-blazi >> ng-fast-or-is-it-final >> >> >> >> >> On Sun, Aug 7, 2016 at 9:49 PM, 理 <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 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> 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 > >
