:: On Mon, 9 Mar 2015 06:37:32 +0100
::
<titc.75106d84be.offee15045.c8f559d7-onc1257e03.001cdd31-c1257e03.001ee...@thockar.com>
 ::
Thomas Eckardt <thomas.ecka...@thockar.com> wrote:

> The concept of the central RDB (for HMM and Bayesian) backend is not
> fast enough to process several hundred thousands or million mails a
> day. If 100.000 mails have to be processed with HMM and/or Bayesian
> in a day, this will lead in to 6.000.000 - 60.000.000 SQL queries a
> day (only for HMM....).
> What DB engine (cluster) is able to do this? And this is only the
> average calculation - what about the peaks?

Hmmm... MongoDB :) ? Or maybe some other NoSQL DB; the problem is that
the code would need to be extensively modified to use them

http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis



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