One major feature differentiator is something it doesn't really talk about, though - how conducive is each system to Massive Data?
For example, he kind of has a bone to pick with Cassandra, which is probably justified. But from what little I know, one of the features of Cassandra is that it's designed to scale pretty much to infinity. That may be true of a couple of the others, but for some (like CouchDB) it isn't a design goal at all.
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Interesting and useful.
One major feature differentiator is something it doesn't really talk about, though - how conducive is each system to Massive Data?
For example, he kind of has a bone to pick with Cassandra, which is probably justified. But from what little I know, one of the features of Cassandra is that it's designed to scale pretty much to infinity. That may be true of a couple of the others, but for some (like CouchDB) it isn't a design goal at all.
"That may be true of a couple of the others, but for some (like CouchDB) it isn't a design goal at all."
actually it is, you might take a peek at BigCouch[1], it puts the C in CouchDB.
[1] https://github.com/cloudant/bigcouch
Good point, and it's not there since I only wanted to speak from experience; especially with rumors of Cassandra scaling problems at Reddit and Digg.
But sure thing, "infinite" scaling is probably best done with the Dynamo-like stuff like Cassandra and/or RIAK.
Reddit runs Cassandra with just a few nodes. Cassandra scales up well, but doesn't scale down as well:
http://www.reddit.com/r/announcements/comments/c2spc/reddits...