Need advice to choose graph database <p>I'm looking for options for graph database to be used in a project. I expect to have ~100000 writes (vertix + edge) per day. And much less reads (several times per hour). The most frequent query takes 2 edges depth tracing that I expect to return ~10-20 result nodes. I don't have experience with graph databases and want to work with gremlin to be able to switch to another graph database if needed. Now I consider 2 possibilities: neo4j and Titan.</p> <p>As I can see there is enough community, information and tools for Neo4j, so I'd prefer to start from it. Their capacity numbers should be enough for our needs (∼ 34 billion nodes, ∼ 34 billion edges). But I'm not sure which hardware requirements will I face in this case. Also I didn't see any parallelisation options for their queries.</p> <p>On the other hand Titan is built for horizontal scalability and has integrations with intensively parallel tools like spark. So I can expect that hardware requirements can scale in a linear way. But there is much less information/community/tools for Titan.</p> <p>I'll be glad to hear your suggestions</p>