Dgraph vs RedisGraph: 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; RedisGraph: A High Performance In-Memory Graph Database as a Redis Module. RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering.
Dgraph and RedisGraph belong to "Graph Databases" category of the tech stack.
Dgraph and RedisGraph are both open source tools. It seems that Dgraph with 9.8K GitHub stars and 686 forks on GitHub has more adoption than RedisGraph with 695 GitHub stars and 65 GitHub forks.