Dgraph is a native GraphQL database with graph backend capabilities. It provides horizontal scalability and fast graph queries with native GraphQL support.
Key Concepts
Native GraphQL API
Graph traversal queries
Distributed graph
ACID transactions
Subscription support
Common Use Cases
Social networks
Knowledge graphs
Recommendation engines
Fraud detection
GraphQL backends
Best Practices
Design schema properly
Use predicates efficiently
Implement proper indexing
Use cursors for pagination
Monitor graph metrics
Resources
Dgraph.io: dgraph.io/docs
Related Skills: graphql, neo4j, graph-databases
Getting Started
Start a Dgraph cluster using Docker, define your schema, and begin querying your graph data with the intuitive GraphQL API.
1---2name: dgraph3description: Dgraph4---5# Dgraph67Dgraph is a native GraphQL database with graph backend capabilities. It provides horizontal scalability and fast graph queries with native GraphQL support.89## Key Concepts1011- Native GraphQL API12- Graph traversal queries13- Distributed graph14- ACID transactions15- Subscription support1617## Common Use Cases1819- Social networks20- Knowledge graphs21- Recommendation engines22- Fraud detection23- GraphQL backends2425## Best Practices2627- Design schema properly28- Use predicates efficiently29- Implement proper indexing30- Use cursors for pagination31- Monitor graph metrics3233## Resources3435- Dgraph.io: dgraph.io/docs36- Related Skills: graphql, neo4j, graph-databases3738## Getting Started3940Start a Dgraph cluster using Docker, define your schema, and begin querying your graph data with the intuitive GraphQL API.
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Dgraph It is listed under AI & ML on SkillMD.
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