GraphDB Overview
What is GraphDB?
Ontotext GraphDB is a highly efficient RDF triplestore and semantic graph database engineered for building and querying large-scale knowledge graphs. It excels at linking and integrating diverse, heterogeneous datasets, indexing them for complex semantic search, and enriching them through integrated text analysis. The database provides a visual workbench for development, along with powerful capabilities for data reconciliation, virtualization, and visualization. With its open-source plugin architecture for connectivity, enterprise-grade support, and predictable licensing, it is a preferred tool for implementing sophisticated semantic technology solutions.
Who it's for:
GraphDB is built for data architects, knowledge engineers, and data scientists in research institutions, pharmaceutical companies, media organizations, and large enterprises that are constructing enterprise knowledge graphs, implementing semantic search, or working with linked open data. It suits projects requiring deep data integration and meaning-based querying.
Our verdict:
Ontotext GraphDB is a premier semantic graph database that stands out for its performance, rich feature set, and strong enterprise support. It is arguably the best-in-class solution for organizations seriously investing in knowledge graph technology to unlock the contextual value of their data.
GraphDB Details
GraphDB Platforms supported
Cloud, SaaS, Web-Based
Desktop Linux
Desktop Mac
Desktop Windows
On-Premise Linux
On-Premise Windows
Desktop Chromebook
Mobile Android
Mobile iPad
Mobile iPhone
GraphDB Support options
Chat
Email Help Desk
FAQ Forum
Knowledgebase
Phone Support
GraphDB Training options
Documentation
In-Person
Live Online
Videos
Webinars
GraphDB Related Categories
GraphDB Typical customers
Freelancers
Small Businesses
Small to Mid size businesses
Mid size businesses
Mid to Large size enterprises
Large enterprises
Very Large enterprises
GraphDB Features
Most valued GraphDB features by users
Access Controls/Permissions
Backup and Recovery
Data Migration
Data Replication
Database Conversion
Mobile Access
Multiple Programming Languages Supported
NOSQL
Performance Analysis
Relational
Virtualization
Columnar Database
Data Retrieval
Data Storage Management
Document Database
Full Text Search
Graph Database
Key-Value Store Database
Object Oriented Database
Serverless Accessibility
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