Detailed Introduction
Dgraph is a high-performance distributed graph database designed for realtime, large-scale queries. It offers native GraphQL support, ACID transactions, and consistent replication. By optimizing how data is organized on disk and across the network, Dgraph reduces seeks and network overhead, providing low-latency, high-throughput query performance for connected data.
Main Features
- Native GraphQL support for schema and queries.
- Distributed architecture with sharding and replication for horizontal scalability.
- ACID transactions and linearizable reads to ensure data consistency.
- Storage and indexing optimizations tailored for graph traversals and joins.
Use Cases
Dgraph fits production systems that require low-latency, high-concurrency graph queries: knowledge graphs, social network relationship lookups, recommendation systems with multi-hop queries, and other relationship-heavy applications where modeling data as a graph improves expressiveness and performance.
Technical Features
- Optimized storage layout and indexes to accelerate traversals and joins.
- Multi-protocol access: gRPC/HTTP with JSON and Protobuf payloads for cross-language clients.
- Containerized deployment and Kubernetes examples for cloud-native environments.
- Open-source ecosystem under Apache-2.0 with active contributors and client libraries.