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Ontotext Makes Building Powerful Knowledge Graphs Easier with GraphDB 10.2
This latest offering empowers users to oversee system health and diagnose problems easier using industry-standard toolkit Prometheus or by monitoring performance directly within the GraphDB Workbench itself. The solution also includes support for X.509 client certificate authentication, which provides greater flexibility when accessing a secured GraphDB instance.
"Graph databases play a critical role in developing a successful enterprise knowledge graph, as they serve as the underlying foundation for facilitating advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems," said Doug Kimball , CMO, Ontotext. "The latest enhancements to GraphDB 10.2 drive even more value for our customers by making it easier for them to manage and store their internal data and information assets. Equally important, it helps them to reduce costs by lowering the amount of memory that is needed without any impact on system performance."
Benefits of GraphDB 10.2 include:
With Version 10.2, backups can also be stored directly in Amazon S3 storage to ensure the most up to date data is securely protected against inadvertent changes or hardware failures in local on-prem infrastructure.
Internal structures and moved memory usage from off-heap to the Java heap were also redesigned The result is a more straightforward memory configuration, where a single number i.e. (the Java maximum heap size) controls the maximum memory available to GraphDB. Memory used during RDF Rank computation was also optimized making it possible to compute the rank of larger repositories with less memory.
GraphDB 10.2 also exposes the most important metrics as part of the GraphDB Workbench so that everyone can benefit from the additional information regardless of whether they use Prometheus.
As the leading global provider of enterprise knowledge graph technology and semantic database engines, Ontotext helps enterprises to identify meaning and connections across diverse datasets and massive amounts of unstructured information. Ontotext's technology and services deliver value through semantic knowledge graphs, linking multiple structured and unstructured datasets to help customers achieve enhanced decision making, support knowledge growth and acquisition, deliver insights discovery, and ensure AI is properly educated. The company's knowledge graph technology helps businesses to connect data and define relationships to get the most out of business-critical data. The Ontotext GraphDB engine and Ontotext Platform are credited for powering business-critical systems in some of the largest banks, media, market intelligence agencies, car and aerospace manufacturers. To learn more visit or follow them on LinkedIn or Twitter
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