What is Dgraph?
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.
Dgraph is a tool in the Graph Databases category of a tech stack.
Dgraph is an open source tool with 17.3K GitHub stars and 1.3K GitHub forks. Here’s a link to Dgraph's open source repository on GitHub
Who uses Dgraph?
15 companies reportedly use Dgraph in their tech stacks, including xxxx-trial, PlayNet, and Inflect.
86 developers on StackShare have stated that they use Dgraph.
Pros of Dgraph
Graphql as a query language is nice if you like apollo
Low learning curve
Easy set up
Dgraph Alternatives & Comparisons
What are some alternatives to Dgraph?
See all alternatives
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.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
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.
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.