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From Rob Stewart <>
Subject Re: CouchDB Partitioning Proposal
Date Wed, 09 Jun 2010 09:29:09 GMT
Hi Randall,

With a response time like that, efficiency is your strong point.

First of all, seeing as through there are a number of “solutions”, it's
clear that there are positives to come from a fully distributed CouchDB
database. So I am not put off by that.

Next, you suggest potential like solution as Cassandra and Dynamo. I'd tend
to agree, as these are stable distributed systems. On saying that, Cassandra
doesn't use Erlang (as a Java implementation), though it adopted the
flexible column layout from Google's BigTable. I've also had a look at
MongoDB, which is a C++ implementation, but with similar goals as CouchDB
(document-oriented database). They are currently working on database
partitioning, though it's in its alpha stages, in version 1.5.3. I imagine
that MongoDB could be a good design guide for CouchDB in the future should
its sharding implementation matures.

In a slightly unrelated note, can I point you to a paper published in
February, 2010 - “Key/Value Datastores Comparison in AppScale”. Briefly,
AppScale is a open source drop-in replacement for Google's App Engine, and
provides API's to Cloud based web applications (typicall), and at the
backend that have plugged in their app API's to the API's of 7 distributed
databases (including Cassandra and MongoDB). What are the chances of
attaching CouchDB to the AppScale API's ?

My final point is Scalaris. (Google “Reliable Transactional P2P Key/Value
Store”). Like CouchDB, it is a P2P datastore, implemented in Erlang. Appears
to be similar in design and implementation to CouchDB, to me? It uses Chord#
to storing and retreiving key/values in nodes. It seemingly has support for
Heterogeneous hardware clusters, and it currently uses an in-memory
disctionary for database stores, though using Mnesia has been suggested.

Is that enough, to generate discussion, Randall ?

Rob Stewart

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