Cayley vs Dgraph: What are the differences?
Developers describe Cayley as "An open-source graph database". Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned. On the other hand, Dgraph is detailed as "Fast, Distributed Graph DB". Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
Cayley and Dgraph can be primarily classified as "Graph Databases" tools.
Cayley and Dgraph are both open source tools. It seems that Cayley with 12.6K GitHub stars and 1.13K forks on GitHub has more adoption than Dgraph with 9.95K GitHub stars and 695 GitHub forks.