We are pleased to announce Eclipse RDF4J 2.3.1
Release 2.3.1 is a bug fix release that includes changes to:
- Turtle and TriG boolean fixes
- IRI IPv4 parsing fixes
- Lucene and Spin fixes
The latest version of this semantic graph database, built on RDF4J, is more efficient and faster in loading, processing and updating vast amounts of data.
See the full announcement here: GraphDB 8.5 Release
We are pleased to announce Eclipse RDF4J 2.3.0!
Release 2.3 includes improvements to RIO, support for xsd:duration operations in SPARQL, and many under the hood changes including keeping remote transaction alive, storing repository settings in plain text, jdk9 compatibility, and many more bug fixes!
Ontotext is happy to announce that it has just released the latest – 8.4 – version of its signature semantic graph database GraphDB that makes dataset loading faster, supports parallel transactions and allows superior monitoring of queries and updates.
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.
Ontotext is continually working to add new exciting features to GraphDB and improve its performance, so the 8.4 release comes just three months after the 8.3 release.
In less than a year, Ontotext has released 4 new versions and 8 patch versions of GraphDB. They have introduced a number of engine improvements in each new release in recent months. What’s more, they value their customers and strive to give their users richer and friendlier experience with each new version we launch.
With the latest release, GraphDB 8.4, users can enjoy a preload tool for fast dataset loading. The preload interface allows a bulk import of huge scale datasets without inference. During the load of big datasets such as Uniprot (17B), the interface guarantees sustainable processing speed of over 130K/statements per second. Speed is not affected by the size of the loaded dataset. The algorithm avoids all transaction overheads and writes directly to the repository image, so it requires a database stop.
They also have improved the cluster protocol to allow parallel load and inference in cluster mode. They refined the cluster protocol responsible for the data exchange between master and worker nodes to support parallel transactions.
Another new feature in GraphDB 8.4 is that all SPARQL queries (read) and update (write) operations are now visible in the Monitoring tab. This enables administrators to profile all running updates and stop them from a central interface.
Finally, GraphDB 8.4 now allows the ElasticSearch and SOLR connectors to connect to a password-protected secured instance.
Connectors support authentication to a remote service using a password or an API key.