GraphDB
Business Profile
Core Value Proposition
GraphDB provides a semantic graph database that links diverse data, indexes it for semantic search, and enriches it via text analysis to build big knowledge graphs.
Target Customer
Enterprises and technical teams seeking unified data access and analytics via knowledge graphs (data architects, AI/ML teams, CIOs/CTOs, knowledge graph engineers).
Key Differentiator
Combines mature semantic graph technology (GraphDB) with Generative AI/Large Language Model integration (Graph RAG), domain knowledge graphs, data fabric, and a semantic content hub to enable AI-ready knowledge graphs across industries.
Implementation Timeline
Not specified in the content
Pain Points
- 1Disparate data sources and silos hindering unified data access
- 2Difficulty integrating data for AI/LLM workflows while maintaining governance and quality
- 3High costs and complexity of enabling knowledge graphs, analytics, and AI-informed decision making
Key Features
- 1Link diverse data, index it for semantic search, and enrich it via text analysis to build knowledge graphs
- 2Metadata Studio to evaluate text analysis services against ground truth data
- 3Ontotext Refine to automate converting messy string data into a knowledge graph
- 4Data loading with RDF-izing of tabular data
- 5Knowledge Graph Applications and robust GraphDB architecture patterns for enterprise solutions
Target Customer Industries
Decision Makers
- 1Assistant Professor
- 2Software Developer
- 3Student - Data Analyst
- 4Ingénieur en Recherche et Développement
- 5Engineer
- 6Data Engineer
Client Results
- 139 % Increase in client data processing efficiency
- 2300 % Return on investment
- 3100 + Happy customers
- 430 + 5-star reviews
Competitive Advantages
- 1Two decades of experience in semantic technologies underpinning enterprise-grade knowledge graphs
- 2Strong focus on AI readiness with Graph RAG for context-rich LLM responses
- 3Domain knowledge graphs and data fabric to unify data assets across silos
- 4Graph analytics, NLP/IE, and multi-paradigm search capabilities built on GraphDB
- 5Comprehensive services ecosystem (strategy, development, managed services, trainings, knowledge hub)
Key Benefits
Additional Product Information
Product Description
GraphDB is Ontotext's semantic graph database that links diverse data, enables semantic search, and enriches data with text analytics to build enterprise knowledge graphs.
Target Market
Enterprises across multiple industries requiring unified data access, knowledge graphs, and semantic analytics (Healthcare/Life Sciences, Financial Services, Manufacturing, AECO & Infrastructure, Media & Publishing, Public Sector).
Unique Value Proposition
Ontotext GraphDB uniquely combines mature semantic graph technology with Generative AI/LLM integration (Graph RAG), domain knowledge graphs, and data fabric to deliver accurate, context-aware AI and unified data access for enterprise analytics.
Technical Requirements
Not explicitly listed in the content
Pricing Model
Pricing not disclosed; customers are encouraged to book a discovery call
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