Ontotext is proud to release the latest 8.1 version of its signature semantic graph database, GraphDB, which makes knowledge discovery faster and richer than before.
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 and Springer Nature.
Vassil Momtchev, Head of Data Managements and Products is confident:
Version 8.1 now offers visual graph exploration of the dataset that lets users navigate the instance data with an interactive graph explorer. This new feature also enables users to get familiar with the data much faster and without having to write SPARQL queries.
GraphDB SE and EE employ another key feature: parallel load and inference. The parallel load, combined with the new context index, speeds up loading times up to 60% when importing files.
GraphDB 8.1 also introduces a new type of context index, which leads to more disk efficient indexes when dealing with datasets with many named graphs. As a result, the data loading and query answering time are greatly improved.
The new version is fully compliant with the RDF4J 2.1.x releases, thus offering the community the alternative to use the powerful & robust GraphDB Free to perform semantic inferencing at scale. What is more, the community and users can get all the latest bug fixes and features from the RDF4J project.
Finally, the new release introduces a GraphDB docker image deployment with pre-built docker images for the GraphDB SE/EE edition only. This feature greatly simplifies the cluster setup and administration and lowers the cost to set up and run GraphDB in production.