[Gluster-users] NoSQL tools that run on Gluster

Jay Vyas jayunit100 at gmail.com
Wed May 1 20:00:05 UTC 2013

Yeah, I was thinking - gluster as a domain-specific-database PLATFORM,
rather than just a store for some other db that already indexes, hashes,
and shards.  Where - you define the CAP tradeoffs in translator stack using
glupy or something like that.

On Wed, May 1, 2013 at 2:26 PM, Jeff Darcy <jdarcy at redhat.com> wrote:

> On 05/01/2013 01:50 PM, Jay Vyas wrote:
> > There has been chatter about "X on gluster", where x=mongo, riak,...
> >
> > Im wondering - is there a "most popular" or most well tested
> > transactional datastore that runs/leverages gluster ?
> >
> > Or is the idea of running a transactional nosql tool on gluster still
> > mostly a fun/cool/interesting thought experiment?
> I follow developments in the NoSQL world pretty closely, and count many
> people in that space as my friends.  This idea comes up often, but
> nobody really pursues it much because what they do and what we do is
> already so similar.  The consistent hashing we use in DHT is clearly of
> the same general sort as that used in Cassandra, Riak, or Voldemort.
> Some of the discussions we've had about various forms of replication and
> different consistency models clearly relate well to those same concepts
> in MongoDB or Couchbase.  If we're using the same algorithms for things
> like distribution and replication already, why put one on top of the
> other?  Putting Cassandra on top of GlusterFS would be too much like
> putting Cassandra on top of itself.
> That said, there are a couple of related ideas that are somewhat
> interesting.  Most have to do with splicing pieces of these related
> technologies together instead of layering them.  What if we could layer
> our front end (full POSIX via FUSE plus SMB/NFS support) on top of their
> back end?  What if we could put their API on top of our back end with a
> specialized translator or libgfapi, much as we're doing for Swift and
> Hadoop?  There are plenty of possibilities like that to explore.

Jay Vyas
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