Seems interesting… Have they created a full-featured knowledge graph on top of this data? Do they rely on the standard SPARQL / Gremlin? It seems like the state of knowledge graphs, at least the public ones as opposed to whatever Google, Baidu, Facebook etc. have created… is pretty fragmented and very new. I am looking for the best way to control the schema of our knowledge graph and query it efficiently. The GRAKN.AI query language, Graql, along with its associated type system, seems interesting and with high-level abstractions appropriate for a knowlege graph… But from what I can tell, it’s a proprietary language rather than being on some standards track.
Just wondering, as I’m not familiar with the Java-related performance issues you point out. What do you think the problem with Java is?
I have my own reservations with Java… I’ve worked with it a bit and find it to be a bit clunky and verbose. That’s one of the reasons I like Dgraph, being based on concise and innovatie Golang. Not to mention the fact that Dgraph is the full-stack database, rather than just being a query layer on top of some other back-end datastore.