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GraphDB has proven to be a reliable and efficient solution for managing interconnected data and establishing relationships. Users have …
Overview
What is GraphDB?
GraphDB, developed by Ontotext, is an advanced RDF database designed to seamlessly link diverse data, index it for semantic search, and enrich it through text analysis to build large-scale knowledge graphs. According to the vendor, GraphDB is versatile and scalable, making it suitable for organizations...
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What is GraphDB?
Ontotext helps enterprises to identify meaning across diverse datasets and massive amounts of unstructured information since 2000. Ontotext offers technology and services for the development of big knowledge graphs, interlinking multiple structured datasets. Analysis of such graphs provides…
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Product Details
- About
- Tech Details
What is GraphDB?
GraphDB, developed by Ontotext, is an advanced RDF database designed to seamlessly link diverse data, index it for semantic search, and enrich it through text analysis to build large-scale knowledge graphs. According to the vendor, GraphDB is versatile and scalable, making it suitable for organizations of various sizes. It is used by data scientists, knowledge engineers, information architects, research institutions, and government agencies.
Key Features
Best RDF database: According to the vendor, GraphDB is recognized as a top RDF database, providing compliance with industry standards such as RDF 1.1 and SPARQL 1.1, along with RDF-Star and SPARQL-Star extensions. It supports standard reasoning rulesets like RDFS, OWL 2 RL, and QL, allowing users to perform custom reasoning and consistency checks.
Highly performant reasoning and query engine: The vendor claims that GraphDB offers a highly efficient reasoning and query engine, enabling simultaneous load, query, and inference operations. Its forward-chaining reasoning feature is said to ensure fast reasoning and efficient retraction of inferred statements upon update.
Deploy anywhere with ease: According to the vendor, GraphDB can be easily deployed using Java and offers flexibility in terms of deployment options, allowing organizations to choose the environment that suits their needs.
Additional functionalities provided by plugins: GraphDB provides a plugin API for engine extensions, enabling users to enhance its functionality. The vendor states that numerous plugins are available, including geo-spatial indexing, GeoSPARQL, RDF rank, and connectors for popular search engines like Elasticsearch, Solr, and Lucene, enabling full-text and faceted search capabilities. The Kafka connector is said to facilitate data synchronization to downstream systems.
Simple to operate high availability cluster: GraphDB offers a high availability cluster feature that ensures automatic failover, synchronization, and load balancing to maximize node utilization, according to the vendor. It scales query processing proportionally to the number of cluster nodes, allowing for increased query throughput. The cluster is claimed to remain fully functional even in the event of failing nodes, ensuring data availability and reliability.
Workbench interface for easy management: According to the vendor, GraphDB provides a user-friendly workbench interface that allows users to easily manage repositories, data, user accounts, and access roles. It is designed to simplify administration and configuration tasks.
GraphDB Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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- Business Problems Solved
GraphDB has proven to be a reliable and efficient solution for managing interconnected data and establishing relationships. Users have found that it solves various business problems and offers valuable capabilities. One key use case is in the marketing department, where GraphDB is utilized to store, organize, and manage content in the form of semantically enriched smart data. This allows marketers to gain deeper insights into their data, enabling more targeted and personalized marketing campaigns. Additionally, GraphDB's easy learning curve has made it a preferred tool for users, providing them with a comfortable experience in managing complex data.
Another significant problem solved by GraphDB is the need for speed and efficiency in data management. Users have praised GraphDB for its fast performance, which has helped overcome previous speed issues experienced with other tools. This speed is especially crucial when dealing with large datasets or when conducting real-time data analysis. Moreover, GraphDB's seamless integration with other tools, such as PoolParty as part of the Semantic Integrator solution, has further enhanced its utility for users in various industries.
GraphDB also addresses the need for reliable and easy-to-use semantic platforms. Users appreciate the feature set offered by GraphDB, considering it one of the top triplestores available. Its ability to handle test triple stores, publish linked open data sets, and integrate laboratory environments showcases its versatility across different domains. Furthermore, the graphical user interface of GraphDB has received positive feedback from users, making it accessible and interactive for analyzing and visualizing data.
Overall, GraphDB has emerged as a trusted solution for users' interconnected data management needs. Its speed, reliability, ease of setup, and user-friendly interface have positioned it as a preferred choice for organizations across industries seeking effective solutions for their complex data challenges.