It's also worth singling out CASSANDRA-675 for your "scale up" scenario -- latency overhead per node is much lower in 0.5.
On Fri, Jan 29, 2010 at 3:13 PM, Jonathan Ellis <jbel...@gmail.com> wrote: > Thanks for posting your results; it is an interesting read and we are > pleased to beat HBase in most workloads. :) > > Since you originally benchmarked 0.4.2, you might be interested in the > speed gains in 0.5. A couple graphs here: > http://spyced.blogspot.com/2010/01/cassandra-05.html > > 0.6 (beta in a few weeks?) is looking even better. :) > > -Jonathan > > On Fri, Jan 29, 2010 at 2:35 PM, Brian Frank Cooper > <coop...@yahoo-inc.com> wrote: >> Hi folks, >> >> >> >> We have been conducting a performance study comparing Cassandra and HBase >> (and Yahoo! PNUTS and MySQL) on identical hardware under identical >> workloads. Our focus has been on serving workloads (e.g. read and write >> individual records, rather than scan a whole table for MapReduce.) This is >> part of a larger effort to develop a benchmark for these kinds of systems >> (which we are calling YCSB, or the Yahoo Cloud Serving Benchmark.) >> >> >> >> I thought this list might be interested in the first set of results we have. >> We submitted a paper on these results, and the benchmark as a whole, and we >> are continuing to benchmark other scenarios and systems. But we have >> produced a snapshot of the results if you are interested: >> >> >> >> High level summary: http://www.brianfrankcooper.net/pubs/ycsb-v4.pdf >> >> Detailed paper: http://www.brianfrankcooper.net/pubs/ycsb.pdf >> >> >> >> In general, Cassandra performs quite well, with good throughput and latency >> compared to PNUTS (which we call Sherpa internally) and better throughput >> than HBase. >> >> >> >> I’d be happy to answer any questions about the results or discuss possible >> ways to tune Cassandra. We had already received extensive tuning help from >> this list last year (thanks!) but more suggestions are always helpful. >> >> >> >> The benchmark tool will be open sourced real soon now (we are just waiting >> for final approval from Yahoo legal) and our hope is that it is a useful >> tool for apples-to-apples comparison of different systems. >> >> >> >> Brian >> >> >> >> -- >> >> Brian Cooper >> >> Principal Research Scientist >> >> Yahoo! Research >> >> >
