GraphDB vs qEndpoint

GraphDB is an RDF and SPARQL semantic graph database for storing data and performing inferencing in the Graphwise AI Platform. It supports SPARQL 1.1, RDF4J compatibility, RDFS and OWL 2 RL and QL rulesets, federated queries, and RDF-star. Its real-time forward-chaining reasoning operates across datasets, and the product page describes native GraphRAG and LangChain integration. GraphDB can run as a desktop or standalone server application, be self-hosted, or be deployed on AWS and Azure; downloads are listed for Windows, macOS, Linux, and a platform-independent distribution. The Free edition includes a Lucene connector, one parallel query, and up to five repositories; GraphDB 11 and later requires a free license. Enterprise supports multiple cores, unlimited repositories, high-availability clustering, and connectors for Elasticsearch, OpenSearch, Solr, and Kafka. Free is on-premise only with community support. Enterprise includes SLA support and is licensed per server CPU core, with each cluster node licensed separately. Free costs nothing; Enterprise pricing is on request.

qEndpoint is a free, open-source RDF triple store for self-hosted linked-data workloads. It supports full-text search, GeoSPARQL, and SPARQL 1.1, either as a standalone endpoint or as a dependency. A graphical interface lets users write and run SPARQL queries, while a RESTful HTTP API handles queries. Datasets can be uploaded in RDF4J-supported formats, including RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, and TriX. Result formats include JSON, XML, and Binary RDF. Docker images are available for qEndpoint and for a Wikidata-indexed variant supporting wikidata_truthy and wikidata_all datasets. The Docker setup defaults to 6G memory; large datasets are discouraged below 4G, and Wikidata-all requires at least 10G. Installation documentation covers Scoop, Homebrew, and a CLI ZIP release. The project describes Wikibase use and is licensed under GNU GPL v3.