qEndpoint
6.1#15 in rdf databasesWebAPILinuxmacOS
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| Fact | qEndpoint | RDFox |
|---|---|---|
| Data formats | The README says datasets can be uploaded in formats supported by RDF4J and lists JSON, XML, and Binary RDF result formats. | Official product pages list CSV, JSON, N-Triples, Turtle, TriG and OWL 2 Functional-Style Syntax among import and export formats. |
| Deployment | The project provides preconfigured Docker images for qEndpoint and qEndpoint with Wikidata data. | RDFox can run on a single machine or as a cluster distributing processing across multiple machines. |
| Integrations | The project lists Spring, RDF-HDT, and RDF4J under “Built With.” | RDFox was made available on AWS Marketplace through a DataLens partnership with pay-as-you-go deployment and connectors for SQL, CSV, XML, JSON, REST and unstructured data. |
| Product | qEndpoint is a highly scalable RDF triple store with full-text and GeoSPARQL support. | RDFox is a main-memory, scalable centralized data store for RDF graph data queried with SPARQL 1.1. |
| Security | The project says it follows security practices but that 100% security cannot be assured, and is provided as is without warranty. | RDFox v7.0 added encryption at rest and client-certificate authentication using mutual TLS for endpoint and remote-shell requests. |
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qEndpoint suits developers or organizations that need to host RDF data and query it through SPARQL or an HTTP API. Its Docker options and Wikidata index may fit self-hosted deployments with sufficient memory.
RDFox may suit teams building RDF knowledge-graph systems that need rule-based reasoning, APIs, or deployment across different environments. Its evaluation license is limited to evaluation and non-commercial use.