Today Ontotext announced GraphDB™ 6.4.0., a new version of our leading RDF graph database that refines GraphDB™ Workbench experience and improves its performance. Developed just for a couple of months, GraphDB™ 6.4.0 introduces enhancements to the overall usability, cluster & users management, SPARQL editor, and visualization and presentation capabilities.
If you use the GraphDB™ Workbench, we strongly recommend you to upgrade.
The release also introduces support for Blueprints RDF/Gremlin and SPARQL-MM. There are no changes in the GraphDB™ Engine and GraphDB™ Connectors.
For more details about the enhancements and upgrades to GraphDB™, visit GraphDB 6.4 Release Notes.
Ontotext provides complete semantic platform transforming how organizations identify meaning across massive amounts of unstructured data. Ontotext blends text mining, powerful SPARQL queries, semantic annotation and semantic search with an RDF graph database (GraphDB™) that infers new meaning at scale. Ontotext S4, The Self Services Semantic Suite, allows developers to build text mining and semantic applications in the cloud.
GraphDB™ is the only native RDF triplestore with the ability to perform semantic inferencing at scale. Ontotext launched GraphDB™ as OWLIM in 2004 and the product has been successfully deployed by organizations around the world including the BBC and AstraZeneca. GraphDB™ is available in three versions: GraphDB™ Lite is a free semantic repository that can manage up to 100 million RDF statements in-memory; GraphDB™ Standard has the ability to manage 10’s of billions of RDF statements on a single server; GraphDB™ Enterprise adds clustering capabilities and full text search connectors.