Dgraph vs. Neo4j Graph Database
A side-by-side comparison based on G2 review data.
| Metric | Dgraph | Neo4j Graph Database |
|---|---|---|
| Overall rating | 4.7 | 4.5 |
| Review count | 22 | 133 |
| Ease of use | 9.1 | 8.4 |
| Ease of setup | 9.1 | 8.8 |
| Quality of support | 9.4 | 8.7 |
| Meets requirements | 9.5 | 8.7 |
| NPS | 81.818182 | 67.938931 |
| Small Business | 71.4% | 43.6% |
| Mid-Market | 9.5% | 30.1% |
| Enterprise | 19.0% | 26.3% |
| Total page views | 74 | 475 |
| Total LLM citations | 515 | 13,832 |
Dgraph
Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalability. Jepsen tested, it has the best performance, returning millisecond query responses on terabytes of data. Dgraph is ideal for a range of use cases, from customer 360 and fraud detection to complicated queries with multi-hops and arbitrary-depth joins.
Neo4j Graph Database
The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes the Neo4j Graph Data Science Library – the leading enterprise-ready analytics workspace for graph data available as both open source and through a commercial license for enterprises – the graph visualization and exploration tool Bloom, the Cypher query language - very easy to learn and can operate across Neo4j, Apache Spark and Gremlin-based products using open source toolkits: "Cypher
- Ease of Use
- Features
- Database Management
- Performance Optimization
- Speed
- Design Flexibility