dgraph-io/dgraph

Health v2 · maintenance only

Adoption not part of the score

21780 stars · 1603 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Dgraph is a distributed, horizontally scalable graph database with native GraphQL support, written in Go. It provides ACID transactions, consistent replication, and low-latency real-time queries over terabytes of structured data.

Use cases

• store and query highly connected data like social networks or knowledge graphs
• generate a GraphQL API directly from a schema for rapid backend development
• serve real-time user-facing queries at terabyte scale
• build recommendation engines over relationship-heavy data
• run a distributed database cluster with replication and ACID guarantees

When to choose

• your data is highly relational and graph-shaped with deep traversals
• you need horizontal scalability and real-time query latency
• you want a GraphQL API generated from your schema
• you deploy on Linux with Docker or Kubernetes

When to avoid

• you need first-class macOS or Windows production support
• your workload is simple relational/tabular data better served by SQL
• you need a small single-node embedded database
• you rely on a rich ecosystem of SQL tooling and ORMs

Facets

service · maturity stable

database graphql search-engine api-framework databases backend apis microservices web-development go self-hosted cloud graph-database distributed-database knowledge-graph acid-transactions grpc horizontally-scalable linux docker kubernetes

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markdown · JSON · MCP: product_card(name="dgraph-io/dgraph")