Spark is more of an execution engine rather than a database. Hive is a data warehouse but I still like treating it as an execution engine.
For databases, You could compare HBase and Cassandra as they both have very wide usage and proven performance. We have used Cassandra in the past and were very happy with the results. You should move this discussion on Cassandra's/HBase's mailing list for better advice. Cheers On Tue, Jul 12, 2016 at 3:23 PM, ayan guha <guha.a...@gmail.com> wrote: > HI > > HBase is pretty neat itself. But speed is not the criteria to choose Hbase > over Cassandra (or vicey versa).. Slowness can very well because of design > issues, and unfortunately it will not help changing technology in that case > :) > > I would suggest you to quantify "slow"-ness in conjunction > with infrastructure you have and I am sure good people here will help. > > Best > Ayan > > On Tue, Jul 12, 2016 at 3:01 PM, Ashok Kumar <ashok34...@yahoo.com.invalid > > wrote: > >> Anyone in Spark as well >> >> My colleague has been using Cassandra. However, he says it is too slow >> and not user friendly/ >> MongodDB as a doc databases is pretty neat but not fast enough >> >> May main concern is fast writes per second and good scaling. >> >> >> Hive on Spark or Tez? >> >> How about Hbase. or anything else >> >> Any expert advice warmly acknowledged.. >> >> thanking yo >> >> >> On Monday, 11 July 2016, 17:24, Ashok Kumar <ashok34...@yahoo.com> wrote: >> >> >> Hi Gurus, >> >> Advice appreciated from Hive gurus. >> >> My colleague has been using Cassandra. However, he says it is too slow >> and not user friendly/ >> MongodDB as a doc databases is pretty neat but not fast enough >> >> May main concern is fast writes per second and good scaling. >> >> >> Hive on Spark or Tez? >> >> How about Hbase. or anything else >> >> Any expert advice warmly acknowledged.. >> >> thanking you >> >> >> > > > -- > Best Regards, > Ayan Guha >
