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 <[email protected]> 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 <[email protected]> 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 <[email protected]> wrote: > > hi, > sparksql improve so fast, both hive and sparksql are similar, so > hive will lost or not? > > regards > > > > > >
