Ontotext is releasing the latest, 8.3, version of its signature semantic graph database, GraphDB, just two months after the 8.2 release. The focus areas of development of the release are cluster improvements and usability.
GraphDB is the preferred semantic graph database for unleashing the power of knowledge, chosen by innovation-driven enterprises such as BabylonHealth, media companies such as the BBC, and scientific publishers such as the IET, Springer Nature, John Wiley & Sons, RELX Group, Oxford University Press and many more.
GraphDB 8.3 includes several new features of cluster, connector and workbench improvements, which make the experience of working with the semantic graph database better, faster and easier.
One of the significant cluster improvements in the latest release is that workers serving replication or backup remain accessible in a read-only state. In this way, clusters can automatically self-recover without losing any read requests, even if there is a single operation worker. In addition, backups no longer affect the read performance.
The other cluster improvement is a master node that may inspect and stop queries running on the workers. Thus, all running queries on the worker nodes may be controlled through a single point.
In terms of connector improvements, Ontotext’s GraphDB 8.3 has a progress bar indicating the remaining time to build a Connector index. With this feature, users get a better feedback about the current state and the remaining time to synchronise GraphDB with an external index. GraphDB Connectors provide an automatic indexing of a knowledge graph in information retrieval engines such as SOLR, Elasticsearch and Lucene.
Concerning of Workbench improvements, Ontotext introduced multiple features in the 8.3 releases that make possible the conversion of structured information to linked data. One is a simplified table-to-RDF transformation process assisted with a code generation, which reduces the time to transform tabular data (e.g. CSV) to RDF datasets. The other workbench improvement is that the default graph visualisation can be configured with the full expressivity of the SPARQL language to control the displayed graph data. A wizard-like interface guides users to create various visualisations with different starting points. In this way, they can visualise arbitrary information from the RDF database.
Finally, the GraphDB 8.3 release comes with an upgrade to the latest RDF4J public release and various bug fixes.
For more information, contact Doug Kimball, Chief Marketing Officer at Ontotext