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dgraph-io/dgraph

high-performance graph database for real-time use cases

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dgraph-io/dgraph has 21k+ stars and 1.5k+ forks on GitHub, is written in Go, and was last pushed on Oct 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 32 minutes ago
Type:Server / PlatformCategory(s):NoSQL, Key-Value & CachesSearch Engines & Vector DatabasesDatabases & Storage
Added to GitGenius on March 25th, 2026
Created on August 25th, 2015
Open Issues & Pull Requests: 101 (+0)
GitHub issues: Enabled
Number of forks: 1,609
Total Stargazers: 21,813 (+0)
Total Subscribers: 356 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 170.5 days
90th percentile: 511.2 days
Tracked items: 98

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Maintainer activity

3 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Roughly one issue in four opened in the past year never receives a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 11 hours, while "kind/bug" waits about 10 days. Only 43% of issues opened in the past year have been closed. Three people close 57% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 51
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 355 days
Stale 30+ days: 39
Stale 90+ days: 31

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 2
Events in 7 days: 6

Top labels

  • Stale (245)
  • kind/bug (126)
  • dgraph (121)
  • kind/feature (98)
  • kind/enhancement (71)
  • community (57)
  • status/accepted (53)
  • bug (52)

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Detailed Description

Dgraph is a horizontally scalable and distributed graph database built with a native GraphQL backend, designed to handle real-time queries over large datasets. Written in Go, it provides ACID transactions, consistent replication, and linearizable reads while optimizing query performance through careful control of data arrangement on disk to minimize seeks and network calls. The database supports GraphQL query syntax and responds in JSON and Protocol Buffers over GRPC and HTTP protocols.

The project has reached version 25 and is production-ready, with deployment across multiple Fortune 500 companies alongside its open source community. Dgraph officially supports Linux/amd64 and Linux/arm64 architectures, with Docker deployment recommended as the primary testing and deployment method. The codebase dropped official support for Mac and Windows in 2021 to focus on Linux-specific performance optimizations, though building from source remains possible on other platforms for specific use cases like live loading or bulk operations.

Dgraph targets applications with complex relational data structures that don't fit elegantly into traditional SQL schemas. It positions itself as a solution for scenarios with more than ten SQL tables connected via foreign keys or sparse data requiring flexible schemas. The database combines NoSQL scalability with SQL-like transactions and the ability to perform distributed joins, traversals, and graph operations. Compared to alternatives like Neo4j and JanusGraph, Dgraph distinguishes itself through its sharded and distributed architecture with automatic data movement for shard rebalancing, consistent replication across the cluster, and native support for full-text search, regular expressions, and geo search capabilities.

The repository shows active maintenance and community engagement.

Installation options include Docker images from the official Dgraph registry or building from source with Go 1.24 or later. The project maintains officially supported client libraries across multiple programming languages and documents community-contributed unofficial clients. Documentation is comprehensive at docs.dgraph.io, with quick-start guides available in four steps and tutorial videos on the project's YouTube channel.