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I wonder what the similarities between LinkedIn's Neo4J, Google's Pregel and CODASYL is. (CODASYL lost out to RDBMS ~30 years ago.)

http://en.wikipedia.org/wiki/CODASYL



With only a hint as to what this Pregel thing is about, my guess would be that Neo4J and CODASYL are focused on persistence/storage whereas Pregel is meant for high-performance OLAP stuff. Storage issues like replication are probably less of a concern.

Notice that they're submitting the paper to a distributed computing conference and not a database conference.

Ultimately I doubt anyone but the Googles of the world have a need for this kind of technology.


There was a time when nobody but the IBMs of the world had use for computers.


I work for a company with a 30 million node social graph. That type of data is becoming more and more common. Including things like Twitter where the social graph is effectively open to anyone.




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