I guess what you want is some large scale graph analytics, which I suggest Spark GrpahX or other distributed graph computing engine.
Unicorn is designed for property directed multi-graphs.
I guess what you want is some large scale graph analytics, which I suggest Spark GrpahX or other distributed graph computing engine.
Unicorn is designed for property directed multi-graphs.
The graph in question is ConceptNet, which in the version I'm working on has about 10 million edges and 3 million nodes. Let's be clear that, in computing, "million" is not a large number. I only said "large graph" to clarify that it's not a small toy graph. The data needs to be imported with some degree of efficiency. But I have a 3TB hard drive and 16 GB of RAM, and both of them can spare a few gigabytes for this task.
Before you throw me into the tarpit of distributed computing, like every other graph-DB provider does as an excuse for their terrible inefficiency, I would like to know if your graph database is appropriate to use with reasonable-sized graphs that fit easily on a single computer.