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HBase >> mail # user >> RE: write throughput in cassandra, understanding hbase


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Re: write throughput in cassandra, understanding hbase
Just to be clear, I realize benchmarks are not always the best way to gauge
performance etc. since there are many factors involved, but I have
generally seen a big diff in write throughput between the two (of the
bencharks that I have read).

For example: http://www.cubrid.org/blog/dev-platform/nosql-benchmarking/(chart:
http://www.cubrid.org/wp-content/uploads/2011/09/db-test-results.png)

On Tue, Jan 22, 2013 at 1:46 PM, Jean-Daniel Cryans <[EMAIL PROTECTED]>wrote:

> On Tue, Jan 22, 2013 at 10:38 AM, S Ahmed <[EMAIL PROTECTED]> wrote:
> > I've read articles online where I see cassandra doing like 20K writers
> per
> > second, and hbase around 2-3K.
>
> Numbers with 0 context don't mean much, if at all.
>
> >
> > I understand both systems have their strenghts, but I am curious as to
> what
> > is holding hbase from reaching similiar results?
> >
> > Is it HDFS that is the issue?  Or hbase does certain things (to its
> > advantage) that slows the write path down?
>
> Our writes are generally quite fast, I think at the moment some
> improvements can be made at the client level. I did some tests last
> year and I could get better throughput with the asynchbase client
> compared to the normal Java client because the former has call queues
> per region server. Both tests were using the same region servers,
> uploading the same data set.
>
> J-D
>
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB