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

1Discover deeper insights

2Manage risk and cut costs

3Integrate data flexibly

4Facilitate innovation

5Access unified data

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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