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.
Get Started
To get started with Dgraph, follow this 5-step tutorial.
Current Status
Dgraph is currently at version 0.7. It has 90% of the features planned for v1.0; and implements RAFT protocol for data replication, high availability and crash recovery. We recommend using it for internal projects at companies. If you plan to use Dgraph for user-facing production environment, come talk to us.
Users
- Dgraph official documentation is present at docs.dgraph.io.
- For feature requests or questions, visit discuss.dgraph.io.
- Check out the demo at dgraph.io and the visualization at play.dgraph.io.
- Please see releases tab to find the latest release and corresponding release notes.
- See the Roadmap for list of working and planned features.
- Read about the latest updates from Dgraph team on our blog.
Developers
- See a list of issues that we need help with.
- Please see contributing to Dgraph for guidelines on contributions.
Data Loading and Persistence
Performance
See performance page for more details.
Contact
- Please use discuss.dgraph.io for documentation, questions, feature requests and discussions.
- Please use Github issue tracker for filing bugs or feature requests.
- Or, just join
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