RDFox vs RedStore

RDFox is a main-memory data store for centralized RDF graphs, queried with SPARQL 1.1. It represents rules and ontological axioms with Datalog, OWL 2 and SWRL, and updates rule consequences as data changes; it can process 2–3 million new-fact inferences per second. Its supported knowledge-graph technologies include RDF, SPARQL 1.1, Datalog, SWRL, OWL 2 RL and SHACL. Java applications can connect through a native API, or RDFox can run as a standalone server through a REST API. Import and export formats include CSV, JSON, N-Triples, Turtle, TriG and OWL 2 Functional-Style Syntax. It can replicate knowledge and data changes across servers to maintain service during an outage, and deployments are described for cloud, on-premises, on-device and edge use. RDFox runs on Linux, macOS and Windows. Security features include encryption at rest, mutual-TLS client-certificate authentication and OpenID Connect single sign-on. Pricing is on request; the free 30-day evaluation license is restricted to evaluation and non-commercial use.

RedStore is a free, self-hosted RDF triplestore written in C with the Redland library. It provides a built-in HTTP server and interface for loading and querying RDF data. Supported standards include SPARQL 1.0 Query, SPARQL 1.1 Protocol for RDF, SPARQL 1.1 Graph Store HTTP Protocol, and SPARQL 1.1 Service Description. The project describes support for a wide range of RDF formats, including Turtle. Storage modules can use hashes, MySQL, memory, PostgreSQL, SQLite, or Virtuoso when contexts are supported; hashes is the default. A URI can be loaded at startup, or RDF files can be sent with HTTP PUT. The /sparql endpoint works with the SPARQL Query Tool, and rdfproc supports offline operations. Redland is the only listed runtime dependency, with minimum versions for raptor2, rasqal, and redland. Installation uses configure, make, and make install. RedStore runs on Linux and macOS, offers API use, and has a Mac OS X app.