GraphDB System Properties

Ontotext GraphDB is a semantic database engine that allows organizations to build faster, cheaper, and optimized Knowledge Graphs.

GraphDB Enterprise is a high-performance semantic repository created by Ontotext. It is implemented in Java and packaged as a Storage and Inference Layer (SAIL) for the RDF4J framework. Loading, reasoning and query evaluation proceed fast even against huge ontologies and knowledge bases.

GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment with its functions, such as inserting and transforming any data into RDF format, SPARQL editor, FTS connectors, visualization, geospatial and ranking. 

GraphDB offers

• Data Reconciliation
• Ontology visualization
• Semantic similarity search based on graph embeddings and smarter and
• Simpler cluster architecture that enables best-in-class resilience, reduced infrastructure costs and self-organized leader election for automated recovery

Upstream and Downstream Integrations:

• ChatGPT GraphDB Integration
  
• Elasticsearch GraphDB Connector
• OpenSearch GraphDB Connector
• Lucene GraphDB Connector
• Solr GraphDB Connector
• Kafka GraphDB Connector
• MongoDB Integration for large-scale metadata management
• General Full-text Search with the Connectors
• Kafka Sink Connector
• Text Mining Plugin
• Dremio, Databricks, and Snowflake integration via Ontop 5
  

Metadata enrichment and management, linked data publishing, semantic inferencing at scale, enterprise semantic search applications and data warehousing in verticals like

• Financial Services,
  
• Lifesciences and Healthcare,
  
• Manufacturing,
  
• Public sectors,
  
• Publishing,
  
• GLAM sectors,
  
• Agriculture,
  
• Electricity,
  
• Transportation and others.

GraphDB provides a platform for building next-generation AI and Knowledge Graph based solutions in life science, finance, media and other domains.

Part of our clients are: Fujitsu, Johnson Controls, Stattnet, TOP 5 US Banks, Chubb, S&P Global Platts, Roche, BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty Trust, UK Parliament, Raytheon, Korea Telecom, Springer Nature, Elsevier, Oxford University Press, Wiley and many others

• GraphDB is the most utilized semantic triplestore for mission-critical enterprise deployments. Heavy-duty, high-availability, robust and scalable it fits perfectly in any enterprise infrastructure when stability and predictability are key.
• GraphDB is the first engine to pass both LDBC Social Network and Semantic Publishing benchmarks, proving its unique capability to handle graph analytics and metadata management workloads simultaneously. For more information about it, please click here: https://ldbcouncil.org/post/ldbc-snb-early-2023-updates/ 

• GraphDB Free is a non-commercial version and is free to use.
• GraphDB Enterprise edition is licensed per CPU-Core used. Perpetual and annual subscription models are available.
• GraphDB Enterprise Edition 12-Core Cluster available on AWS Marketplace & Microsoft Azure Marketplace

Case study: Policy Enforcement Automation With Semantics
2 May 2024

Okay, RAG… We Have a Problem
26 April 2024

Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP
19 April 2024

How Knowledge Graphs Power Data Mesh and Data Fabric
10 April 2024

Building Smarter Financial Services: The Role of Semantic Technologies, Knowledge Graphs and Generative AI
3 April 2024