Amazon Neptune vs. RDFox
A side-by-side comparison based on G2 review data.
| Metric | Amazon Neptune | RDFox |
|---|---|---|
| Overall rating | 4.3 | 4.8 |
| Review count | 31 | 14 |
| Ease of use | 9.2 | 9.4 |
| Ease of setup | 8.9 | 10.0 |
| Quality of support | 9.4 | 9.8 |
| Meets requirements | 9.1 | 9.8 |
| NPS | 48.387097 | 91.666667 |
| Small Business | 56.7% | 38.5% |
| Mid-Market | 16.7% | 30.8% |
| Enterprise | 26.7% | 30.8% |
| Total page views | 157 | 45 |
| Total LLM citations | 502 | 208 |
Amazon Neptune
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.
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.