Can anybody please provide or point out to a good comparison between Neo4j and Titan? One thing i can see is in terms of scale - Titan is scaleout and requires an underlying scalable datastore like cassandra. Neo4j is only for HA and has its own embedded database. Any other pros and cons? Any specific usecases. (Is Titan being used anywhere currently?)
I also have the following link: http://architects.dzone.com/articles/16-graph-databases-compared that gives a objective compare for graph databases but not much on pros and cons between Neo4j and Titan.
We have a social graph in which in a day we add almost 1 millions of node and twice as many edges. We started with neo4j graph because yes, it is very fast due to fact that its storage is on the same machine on which graph engine runs. But following are the experiences that we would like to share with you about neo4j.
Ultimately we are so much fade up with server performance with gremlin query that we had to change the database to titan.
On titan we are getting reasonable performance and also scaling is very easy as we are using cassandra as backend storage. But mind you that .. using gremlin here also not a good idea as multiget query is very ugly to write and without multiget its query becomes very slow.