Dgraph vs Neo4j: What are the differences?
Dgraph: 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; Neo4j: The world’s leading Graph Database. Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Dgraph and Neo4j can be primarily classified as "Graph Databases" tools.
Dgraph and Neo4j are both open source tools. It seems that Dgraph with 9.95K GitHub stars and 695 forks on GitHub has more adoption than Neo4j with 6.6K GitHub stars and 1.63K GitHub forks.
Medium, Movielala, and Hinge are some of the popular companies that use Neo4j, whereas Dgraph is used by Dgraph Labs, Inflect, and DealTap. Neo4j has a broader approval, being mentioned in 114 company stacks & 47 developers stacks; compared to Dgraph, which is listed in 5 company stacks and 3 developer stacks.
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