GraphDB

GraphDB, developed by Ontotext, is an advanced RDF database designed to seamlessly link diverse data, index it for semantic search, and enrich it through text analysis to build large-scale knowledge graphs. According to the vendor, GraphDB is versatile and scalable, making it suitable for organizations of various sizes. It is used by data scientists, knowledge engineers, information architects, research institutions, and government agencies.

Key Features

Best RDF database: According to the vendor, GraphDB is recognized as a top RDF database, providing compliance with industry standards such as RDF 1.1 and SPARQL 1.1, along with RDF-Star and SPARQL-Star extensions. It supports standard reasoning rulesets like RDFS, OWL 2 RL, and QL, allowing users to perform custom reasoning and consistency checks.

Highly performant reasoning and query engine: The vendor claims that GraphDB offers a highly efficient reasoning and query engine, enabling simultaneous load, query, and inference operations. Its forward-chaining reasoning feature is said to ensure fast reasoning and efficient retraction of inferred statements upon update.

Deploy anywhere with ease: According to the vendor, GraphDB can be easily deployed using Java and offers flexibility in terms of deployment options, allowing organizations to choose the environment that suits their needs.

Additional functionalities provided by plugins: GraphDB provides a plugin API for engine extensions, enabling users to enhance its functionality. The vendor states that numerous plugins are available, including geo-spatial indexing, GeoSPARQL, RDF rank, and connectors for popular search engines like Elasticsearch, Solr, and Lucene, enabling full-text and faceted search capabilities. The Kafka connector is said to facilitate data synchronization to downstream systems.

Simple to operate high availability cluster: GraphDB offers a high availability cluster feature that ensures automatic failover, synchronization, and load balancing to maximize node utilization, according to the vendor. It scales query processing proportionally to the number of cluster nodes, allowing for increased query throughput. The cluster is claimed to remain fully functional even in the event of failing nodes, ensuring data availability and reliability.

Workbench interface for easy management: According to the vendor, GraphDB provides a user-friendly workbench interface that allows users to easily manage repositories, data, user accounts, and access roles. It is designed to simplify administration and configuration tasks.