If LLAP is integrated well into Hive to kind of making it an in-memory offerings plus using either Spark or Tez+LLAP as the execution engines, then I think Hive will be a great integrated platform in the ecosystem.
Spark is a very good query tool but operates in a different space compared to Hive which is a Data Warehouse. HTH Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 13 August 2016 at 16:09, Thejas Nair <thejas.n...@gmail.com> wrote: > 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 >> >> >
