Stardog vs. Dgraph
A side-by-side comparison based on G2 review data.
| Metric | Stardog | Dgraph |
|---|---|---|
| Overall rating | 4.2 | 4.7 |
| Review count | 18 | 22 |
| Ease of use | 8.3 | 9.1 |
| Ease of setup | 7.9 | 9.1 |
| Quality of support | 8.9 | 9.4 |
| Meets requirements | 9.1 | 9.5 |
| NPS | 47.058824 | 81.818182 |
| Small Business | 38.9% | 71.4% |
| Mid-Market | 27.8% | 9.5% |
| Enterprise | 33.3% | 19.0% |
| Total page views | 231 | 74 |
| Total LLM citations | 2,664 | 515 |
Stardog
Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive business decisions. Stardog is an enterprise knowledge graph platform that allows customers to query massive, disparate, heterogeneous data regardless of structure with simplicity of implementation. Stardog’s enterprise customers include Fortune 500 companies in finance, healthcare, life sciences, energy, media, and government.
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.