The new release offers finer grained security, improved flexibility, easier cluster administration and monitoring, natural language queries, and many other improvements
NEW YORK, Oct. 24, 2023 /PRNewswire/ — Ontotext is pleased to announce Release 10.4 of GraphDB, their knowledge graph database engine.
GraphDB 10.4 is the first release to be available on AWS Marketplace, adding to the flexibility of how your enterprise can scale and maintain knowledge graph applications. The new AWS operational guide and improvements to backup support on AWS S3 storage increases the efficiency of how you deploy and administer GraphDB on the AWS platform.
Other new 10.4 features include user-defined Access Control Lists (ACLs) for more granular control over the security of your data. Connectors to external services now include one for ChatGPT that lets you customize the answers returned by the OpenAI API with data from your own knowledge graphs. Building on this, the Talk to Your Graph LLM-backed chatbot lets you ask natural language questions about your own data.
Several new features make maintenance of running servers easier and more efficient. The improved Cluster Management View shows a wider range of information about the status of each running cluster, and upgrades to the Backup and Snapshot Compression tools reduce backup time by more than 100% and the necessary disk space by more than 300%. GraphDB 10.4’s new ability to control the transaction log size minimizes the chance of running out of disk space, and greater control over transaction IDs makes it much easier to analyze transaction behavior and identify potential issues to address.
For application developers, the GraphDB Workbench’s new color scheme increases the user interface’s accessibility and overall ease of use, and the reorganization of GraphDB documentation makes it easier to find the explanations you need when you need them.
About Ontotext:
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 GraphDBтм 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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SOURCE Ontotext
