![]() ![]() It supports highly scalable storage and retrieval as well as OWL reasoning. Stardog is a fast, lightweight, pure Java RDF store for mission-critical apps. Halyard is an RDF4J-based horizontally scalable triplestore with full support for named graphs and SPARQL, implemented on top of Apache HBase. Ontotext are a long-term contributor to the RDF4J project. Ontotext offers GraphDB in several editions, including GraphDB™ Free, GraphDB™ Standard and GraphDB™ Enterprise. GraphDB handles massive loads, queries and OWL inferencing in real time. Ontotext GraphDB is a leading RDF triplestore built on OWL (Ontology Web Language) standards. Here, we list a few options, in no particular order of preference. Because these triplestores are compatible with the RDF4J APIs, you will be able to switch your project to a different database with a minimal amount of code changes. However, RDF4J-compatible databases are developed by several third parties, both open-source/free and commercial, and they often offer better scalability or other extended features. The core RDF4J databases are mainly intended for small to medium-sized datasets. For more information see the RDF4J documentation. These extensions add functionality such as improved full-text search, RDFS inferencing, rule-based reasoning and validation using SHACL/SPIN, and geospatial querying support. On top of these core databases, RDF4J offers a number of functional extensions. Though for most usecases the NativeStore will be considerably faster. The built-in read cache makes it a good choice for data that updates infrequently, This is useful if you are already using Elasticsearch for other things in your project and you want to add some small scale graph data.Ī good usecase is if you need reference data or an ontology for your application. The RDF4J ElasticsearchStore is an experimental RDF database that uses Elasticsearch for storage. It is currently aimed at medium-sized datasets in the order of 100 million triples. It is a more scalable solution than the memory store, with a smaller memory footprint, and also offers better consistency and durability. The RDF4J Native Store is a transactional RDF database using direct disk IO for persistence. It is fast with excellent performance for small datasets. The RDF4J Memory Store is a transactional RDF database using main memory with optional persistent sync to disk. RDF4J offers a set of database implementations out of the box. ![]() Here, we list some available database solutions that implement the RDF4J APIs. The RDF4J core framework provides a set of vendor-neutral APIs for highly scalable storage, reasoning, and retrieval of RDF and OWL. Eclipse RDF4J Modular Architecture RDF4J databases ![]()
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