It has a low entry barrier, and the learning curve is reasonable. Great support from the RDFox team! They helped us greatly on integrate it with the current architecture, and to keep giving maintenance as new versions got released.

* Low barrier to entry; graph visualizations; easy data upload; in-memory persistence. * Responsive support team * Enterprise features: HA, transactions * Performance

1. Clear and complete documentation https://docs.oxfordsemantic.tech/introduction.html . 2. Rich set of commands and options to customize solutions and attack problems efficiently. 3. Support for datalog that allows one to customize inference rules. 4. Multiple datastores and named graphs. 5. Efficiently implemented incremental and revisable reasoning. 6. Endpoint to work with datastores in Python (e.g. can perform sparql queries and export triples using Python). 7. Reasoning on axioms (importaxioms) as distinct from additional inference rules (TBox datalog file). 8. Command line interface commands and scripts. 9. Can be implemented in different places (local machine or cloud) allowing customization of available RAM etc. 10. Easy to provide feedback. 11. Extension of SPARQL with new functions amd support for RDF-star and SPARQL-star. 12. GREAT CUSTOMER SUPPORT.