Ontotext GraphDB
Get the Best RDF Database for Knowledge Graphs
GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.
Enterprises Who Trust Ontotext
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Why Choose GraphDB?
The best RDF database
- Benefit from full compliance with industry standards
- Enjoy a highly performant reasoning and query engine
- Deploy anywhere with ease
More than RDF
- Explore additional functionalities provided by many plugins.
- Use full-text and faceted search via the Elasticsearch, Solr and Lucene connectors
- Synchronize data to downstream systems with the Kafka connector.
Simple to operate high availability cluster
- Trust the Raft consensus algorithm and prevent data loss caused by unexpected failures.
- Maximize node utilization and minimize hardware requirements.
- Scale query processing proportionally to the number of cluster nodes.
Selected Feedback from Users
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GraphDB Editions Comparison
The best RDF support | GraphDB Free | GraphDB Standard | GraphDB Enterprise |
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Fully compliant with RDF 1.1 and SPARQL 1.1, with RDF-Star and SPARQL-Star extensions | |||
Fully compliant reasoning for the standard rulesets RDFS, OWL 2 RL and QL | |||
Custom reasoning and consistency checking rulesets | |||
100% compatible with the RDF4J framework | |||
Easy to deploy anywhere using Java |
The best performance | GraphDB Free | GraphDB Standard | GraphDB Enterprise |
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Highly performant simultaneous load, query and inference | |||
Ultra fast forward-chaining reasoning with efficient retraction of inferred statements upon update |
More than RDF | GraphDB Free | GraphDB Standard | GraphDB Enterprise |
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Plugin API for engine extensions | |||
Many plugins providing additional functionality such as geo-spatial indexing, GeoSPARQL, RDF rank, etc. | |||
MongoDB connector | |||
Lucene connector for full-text search | |||
Solr connector for full-text search | |||
Elasticsearch connector for full-text search | |||
Kafka connector for downstream synchronization |
High availability cluster | GraphDB Free | GraphDB Standard | GraphDB Enterprise |
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Automatic failover, synchronization and load balancing to maximize node utilization | |||
Scaling out concurrent query processing, allowing query throughput to scale proportionally to the number of cluster nodes | |||
Cluster elasticity remaining fully functional in the event of failing nodes |
Convenience | GraphDB Free | GraphDB Standard | GraphDB Enterprise |
---|---|---|---|
Workbench interface to manage repositories, data, user accounts and access roles | |||
Community support | |||
Commercial SLA (optional) |
- GraphDB Free comes with a single-core license.
- GraphDB EE can be licensed to two or more cores according to needs and is available on-premise from Ontotext and its partners.
- GraphDB Enterprise Edition 12-core cluster is also available on AWS Marketplace & Microsoft Azure Marketplace as a Software as a Service (SaaS).
More About GraphDB
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Videos
Ontotext GraphDB Features: Monitoring and Cluster Management
GraphDB 10.4 includes an improved cluster management view that shows a broader range of information about the status of each running cluster.
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Videos
Ontotext GraphDB Features: Access Control
An overview of the GraphDB user-defined Access Control Lists for more granular control over the security of your data.
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Videos
Ontotext GraphDB Features: Talk to your Graph
“Talk To Your Graph.” – it’s an LLM-backed chatbot that lets you ask natural language questions about your data from your knowledge graphs.
Case Studies
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Foodparing AI Uses GraphDB to Revolutionize New Product Development
GraphDB powers Foodpairing Enterprise Knowledge Graph to accelerate product development and predict successful consumer products
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Project Equality in Leadership for Latin America STEM (ELLAS) Uses GraphDB to Help Fight Gender Inequality in Leadership Positions
GraphDB powers the ELLAS open data platform that collects, integrates, centralizes, and visualizes data about women in STEM in Latin America.
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Research Team at Vienna University of Technology Uses GraphDB to Offer an Ontology-aided Generative Computational Design Approach to Ecological Building Envelopes
A team of researchers at Vienna University of Technology choose GraphDB to bring a new approach to an ontology-aided early stage computational design for ecological building envelopes and urban sites
Resource Center
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GraphDB Users Ask: Where Can We Deploy GraphDB And What Are Some Best Practices?
BlogGraphDB Q&As -
GraphDB Users Ask: What Isolation Levels Does GraphDB Support?
BlogGraphDB Q&As -
GraphDB Users Ask: What is the Most Important Hardware Attribute for Optimizing GraphDB Performance?
BlogGraphDB Q&As -
GraphDB Users Ask: What is the Best Way to Store the Triples’ History in the Database?
BlogGraphDB Q&As -
GraphDB Users Ask: Can I Use Nested Repositories to Introduce Logical Separation to GraphDB?
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GraphDB Users Ask: Can I Fine-tune Security on Some of the Endpoints in GraphDB?
BlogGraphDB Q&As
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Enterprise PowerPack: Get The Fundamentals of Semantic AI
webinars -
GraphDB 10.1 – An Easy Ride for Beginners & Seasoned Veterans
webinars -
RDF Levels the Advantages of Labeled Property Graphs & Keeps Three Key Benefits: Standards, Semantics & Interoperability
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From Disparate Data to Visualized Knowledge
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Graph Path Search with GraphDB 9.9 and metaphactory 4.3
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Analyzing Unstructured Data with GraphDB 9.8
webinars
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Optimize LLM Value with Knowledge Graphs to Elevate Data Intelligence
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Bloor Research Report – Ontotext GraphDB in Brief 2023
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Turning Your Property Graph into a Robust Knowledge Graph
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Exploring FIBO with GraphDB
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Graph Database Market Update – Bloor Research Report
White Paper -
The Truth About Triplestores: The Top 8 Things You Need to Know When Considering a Triplestore
White Paper