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 Trusted Ontotext’s GraphDB
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
“Year after year, Ontotext continuously improves its graph database GraphDB with the latest features produced by the W3C (RDF*, Property paths, SHACL) thanks to its integration of RDF4j. Perfect Memory has chosen GraphDB because of the quality of the product and its team, and the extensive use of semantic inference our platform Raffiné™ makes, which is very often the pain point of all the triplestores we have benchmarked. Our partnership allows us to build a quality customized Enterprise Knowledge Graph for each of our clients.”
-Aymeric Brisse
CTO, Perfect Memory
“We have used GraphDB with a number of large corporate clients to develop complex Knowledge Graph solutions. GraphDB is a powerful and scalable solution that we are confident to introduce to our most important clients on some of our most important projects.”
-Joseph Hilger
COO, Enterprise Knowledge
“Having Ontotext’s GraphDB as a built-in database in Semantic Web Company’s PoolParty forms a joint product meeting the highest requirements of knowledge workers and enterprise system architects. It’s the same passion for semantics that fuels our partnership.”
-Robert David
CTO, Semantic Web Company
“Working together with Ontotext is always a very agile and rewarding experience. By jointly positioning our offerings and building a strategic solution for our customers, we have been able to support many organizations in fast-tracking their Knowledge Graph journey. This has allowed many customers to extract value from their digital transformation initiatives within just a few weeks.”
-Sebastian Schmidt
CEO, metaphacts
“Synaptica selected Ontotext as the best in class provider for RDF graph databases and we embed their GraphDB database with all our taxonomy and ontology management solutions. Ontotext is also a market leader for text analytics, auto-categorisation, machine learning and semantic search solutions, all of which integrate with our enterprise taxonomy management software. The team at Ontotext possess a unique combination of creativity, deep technical expertise, and commitment to customer service. Simply put Ontotext is our most valued partner.”
-Dave Clarke
Founder, Synaptica LLC
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.
More About GraphDB
-
Videos
Ontotext Demo Days: New Features in GraphDB 10
A talk by Pavel Mihaylov, GraphDB Product Manager, presented at the Ontotext Demo Day in May 2022.
-
Videos
Ontotext Demo Days: Reconciliation Service for Knowledge Graph Enrichment with OntoRefine
A talk by Nikola Tulechki, Knowledge Engineer, presented at the Ontotext Demo Day in May 2022.
-
Videos
KGF 2021 Talks: GraphDB on the Kafka Conveyor Belt
A talk by Pavel Mihaylov, GraphDB Product Manager at Ontotext, presented at the Ontotext and Partners Knowledge Graph Forum in October 2021.
Case Studies
-
Perfect Memory and Ontotext Empower a Leading TV Broadcaster Make More Effective Use of Their Multimedia Resources
Perfect Memory and Ontotext deliver a joint solution that enables intuitive access to information, more relevant search results, improved user experience and much more
-
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
-
NuMedii Uses Ontotext’s Knowledge Graph Powered Solution to Support Research Activities for Identifying Novel Therapies
NuMedii uses Ontotext’s Semantic data integration services to identify biomedical concepts and relationships in the unstructured texts coming from scientific journals and speed up novel therapies.
Resource Center
-
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?
BlogGraphDB Q&As -
GraphDB Users Ask: Can I Fine-tune Security on Some of the Endpoints in GraphDB?
BlogGraphDB Q&As
-
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
webinars -
From Disparate Data to Visualized Knowledge
webinars -
Graph Path Search with GraphDB 9.9 and metaphactory 4.3
webinars -
Analyzing Unstructured Data with GraphDB 9.8
webinars
-
What is RDF-Star?
fundamentals -
RDF vs Property Graphs Comparison
fundamentals -
How-to: Data Visualization with GraphDB™ Workbench
fundamentals -
How-to: Building Knowledge Graphs in 10 Steps
fundamentals -
What is a Knowledge Graph?
fundamentals -
How-to: GraphDB Fundamentals in 10 steps
fundamentals