GraphQL vs. Dgraph
A side-by-side comparison based on G2 review data.
| Metric | GraphQL | Dgraph |
|---|---|---|
| Overall rating | 3.9 | 4.7 |
| Review count | 11 | 22 |
| Ease of use | 8.2 | 9.1 |
| Ease of setup | 8.6 | 9.1 |
| Quality of support | 7.7 | 9.4 |
| Meets requirements | 8.4 | 9.5 |
| NPS | 9.090909 | 81.818182 |
| Small Business | 36.4% | 71.4% |
| Mid-Market | 63.6% | 9.5% |
| Enterprise | 0.0% | 19.0% |
| Total page views | 150 | 74 |
| Total LLM citations | 536 | 515 |
GraphQL
GraphQL is an open-source data query language and runtime designed to streamline API development by enabling clients to request precisely the data they need. Developed internally by Facebook in 2012 and publicly released in 2015, GraphQL has become a foundational tool for modern application development, offering a more efficient and flexible alternative to traditional REST APIs. Key Features and Functionality: - Hierarchical Structure: GraphQL queries mirror the shape of the response data, making it intuitive for developers to predict and structure their requests.
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.