Almost all graph databases use gremlin as querying language but I really love orient db's approach of using sql[1] for querying graphs. It feels more natural in my opinion plus it lowers the barrier to entry for people who already know about sql.
Some of the things I like about cayley
1. Switchable backends(I wonder if I can configure it to use couchdb as a store)
2. Documentation get right to the point. When I first tried my hand at graph databases I could not understand where to start but cayley's approach is pretty straight forward and it wins plus points from me for including a big dataset :)
A question: I see no mention in the docs about running it on multiple nodes (where does it stand with regards to CAP etc)
Some of the things I like about cayley
1. Switchable backends(I wonder if I can configure it to use couchdb as a store)
2. Documentation get right to the point. When I first tried my hand at graph databases I could not understand where to start but cayley's approach is pretty straight forward and it wins plus points from me for including a big dataset :)
A question: I see no mention in the docs about running it on multiple nodes (where does it stand with regards to CAP etc)
[1](https://github.com/orientechnologies/orientdb/wiki/SQL)