I like muti data centre resillience in cassandra. I think thats plus one for cassandra.
Ali, complex analytics can be done in spark right? On 23 Oct 2016 4:08 p.m., "Ali Akhtar" <[email protected]> wrote: > > I would say it depends on your use case. > > If you need a lot of queries that require joins, or complex analytics of the kind that Cassandra isn't suited for, then HDFS / HBase may be better. > > If you can work with the cassandra way of doing things (creating new tables for each query you'll need to do, duplicating data - doing extra writes for faster reads) , then Cassandra should work for you. It is easier to setup and do dev ops with, in my experience. > > On Sun, Oct 23, 2016 at 2:05 PM, Welly Tambunan <[email protected]> wrote: >> >> I mean. HDFS and HBase. >> >> On Sun, Oct 23, 2016 at 4:00 PM, Ali Akhtar <[email protected]> wrote: >>> >>> By Hadoop do you mean HDFS? >>> >>> >>> >>> On Sun, Oct 23, 2016 at 1:56 PM, Welly Tambunan <[email protected]> wrote: >>>> >>>> Hi All, >>>> >>>> I read the following comparison between hadoop and cassandra. Seems the conclusion that we use hadoop for data lake ( cold data ) and Cassandra for hot data (real time data). >>>> >>>> http://www.datastax.com/nosql-databases/nosql-cassandra-and-hadoop <http://www.datastax.com/nosql-databases/nosql-cassandra-and-hadoop> >>>> >>>> My question is, can we just use cassandra to rule them all ? >>>> >>>> What we are trying to achieve is to minimize the moving part on our system. >>>> >>>> Any response would be really appreciated. >>>> >>>> >>>> Cheers >>>> >>>> -- >>>> Welly Tambunan >>>> Triplelands >>>> >>>> http://weltam.wordpress.com <http://weltam.wordpress.com> >>>> http://www.triplelands.com <http://www.triplelands.com/blog/> >>> >>> >> >> >> >> -- >> Welly Tambunan >> Triplelands >> >> http://weltam.wordpress.com <http://weltam.wordpress.com> >> http://www.triplelands.com <http://www.triplelands.com/blog/> > >
