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
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
GraphDB Editions Comparison
| The best RDF support | GraphDB Free | GraphDB Standard | GraphDB Enterprise |
|---|---|---|---|
| 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 |
|---|---|---|---|
| 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 |
|---|---|---|---|
| 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 |
|---|---|---|---|
| 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.
- GraphDB Enterprise Edition 12-core cluster is also available on AWS 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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Life Sciences and Healthcare Use Cases with Knowledge Graphs
Ilian Uzunov and Doug Kimball from Ontotext talk about Life Sciences and Healthcare use cases with knowledge graphs
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Leading TV Broadcaster Gains 30% Savings on Data Management Costs
An integrated solution from Perfect Memory and Ontotext cut time searching for assets by 50%, enabled intuitive access to information, more relevant search results, improved user experience and much more
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Major Government Agency Takes Their Digital and Print Library Services to the Next Level Partnering with metaphacts and Ontotext
Ontotext and metaphacts build a joint knowledge graph-powered solution that offers improved user experience through highly interlinked information across various libraries and archives
Resource Center
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SHACL-ing the Data Quality Dragon II: Application, Application, Application!
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SHACL-ing the Data Quality Dragon I: the Problem and the Tools
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Ontotext – Onto The Cloud
BlogBusinessFeatured -
Data Integration Patterns in Knowledge Graph Building with GraphDB
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GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies
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Ingesting Data in GraphDB Using the Kafka Sink Connector
BlogFeaturedTechnology
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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?
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GraphDB Users Ask: What is the Most Important Hardware Attribute for Optimizing GraphDB Performance?
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GraphDB Users Ask: What is the Best Way to Store the Triples’ History in the Database?
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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
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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
webinars -
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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Bloor Research Report – Ontotext GraphDB in Brief 2023
White Paper -
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
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What is RDF-star?
fundamentals -
RDF vs Property Graphs Comparison
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How-to: Data Visualization with GraphDB™ Workbench
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How-to: Building Knowledge Graphs in 10 Steps
fundamentals -
What is a Knowledge Graph?
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How-to: GraphDB Fundamentals in 10 steps
fundamentals
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