RDFox vs. Stardog
A side-by-side comparison based on G2 review data.
| Metric | RDFox | Stardog |
|---|---|---|
| Overall rating | 4.8 | 4.2 |
| Review count | 14 | 18 |
| Ease of use | 9.4 | 8.3 |
| Ease of setup | 10.0 | 7.9 |
| Quality of support | 9.8 | 8.9 |
| Meets requirements | 9.8 | 9.1 |
| NPS | 91.666667 | 47.058824 |
| Small Business | 38.5% | 38.9% |
| Mid-Market | 30.8% | 27.8% |
| Enterprise | 30.8% | 33.3% |
| Total page views | 45 | 231 |
| Total LLM citations | 208 | 2,664 |
RDFox
RDFox is a high-performance in-memory knowledge graph and semantic reasoner. Optimised for speed and advanced reasoning, it affords query and loading times that are orders of magnitudes faster than alternative triplestores, while also achieving greater insights into the data. RDFox is developed by Oxford Semantic Technologies—an Oxford University spin-out founded by leading academics backed by decades of cutting-edge research in semantic web technologies.
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.