Dgraph is a distributed graph database designed to store and query highly connected data efficiently.
It is built with a native graph architecture and exposes a GraphQL-based query language (GraphQL± / DQL) along with GraphQL APIs for application development. Dgraph focuses on horizontal scalability, high performance, and strong consistency, making it suitable for large-scale applications that require fast traversal of complex relationships. It supports distributed deployments, ACID transactions, and automatic sharding and replication, allowing clusters to scale while maintaining reliability and fault tolerance.
Dgraph is commonly used for applications such as recommendation systems, knowledge graphs, identity graphs, and real-time analytics.
This is free and open source software.
Key Features
- Native distributed graph database designed for storing and querying highly connected data.
- GraphQL-native architecture with built-in GraphQL API and support for DQL (GraphQL±) queries.
- Horizontally scalable cluster architecture with automatic sharding and replication.
- ACID-compliant distributed transactions with strong consistency guarantees.
- High-performance graph traversal engine optimized for large datasets.
- Real-time querying and analytics across complex relationships.
- Integrated indexing and efficient data retrieval mechanisms.
- Flexible schema system supporting evolving data models.
- Built-in authentication, authorization, and access control features.
- Support for backups, exports, and cluster management tools.
Website: dgraph.io
Support:
Developer: Dgraph Labs
License: Apache License 2.0
Dgraph is written in Go. Learn Go with our recommended free books and free tutorials.
Related Software
| Graph Databases | |
|---|---|
| SurrealDB | Scalable, distributed, collaborative, document-graph database |
| EdgeDB | Graph-relational database with declarative schema |
| Dgraph | Distributed GraphQL database built for high-performance graph workloads |
| JanusGraph | Distributed graph database |
| ArangoDB | Scalable graph database system to drive value from connected data, faster |
| OrientDB | Document-graph database |
| AGE | PostgreSQL extension bringing graph database capabilities to SQL |
| TypeDB | Polymorphic database with a conceptual data model |
| Neo4j | Native graph database that is built to store and retrieve connected data |
| NebulaGraph | Graph database that can handle large volumes of data |
| HugeGraph | Highly scalable graph database designed for massive connected datasets |
| ArcadeDB | Multi-model database blending graph, document, and key-value data |
| Oxigraph | Lightweight RDF graph database implementing SPARQL and RDF standards |
| TerminusDB | Document-oriented graph database for building collaborative applications |
| Ladybug | Embedded graph database |
| Virtuoso | Middleware and database engine hybrid |
| Bitsy | Small, fast, embeddable, durable in-memory graph database |
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