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Database Software
GraphDB reviews and summary
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. GraphDB is built for data architects, knowledge engineers, and data scientists in research insti...
Best 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.
Starting price
Pricing not listed
Category
Database Software
Vendor
Ontotext
Key takeaways
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.
Quick facts
GraphDB at a glance
Overall rating
4.7/5
Reviews
24
Starting price
Pricing not listed
Vendor
Ontotext
Founded
2008
Location
Bulgaria
Category
Database Software
Ratings
GraphDB ratings
Ratings in this section summarize available rating data. Software reviews are shown separately when users submit reviews.
Decision notes
GraphDB pros and cons
Potential strengths
- Clear buyer-fit positioning is available in the profile data.
Points to verify
- Confirm current pricing, contract terms, and included plan details with the vendor.
- Confirm product-specific availability for category-level features before buying.
- There are no written reviews for this software yet.
Buyer fit
Who uses GraphDB?
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.
Feature research
GraphDB features
These are common features buyers compare in Database Software. Product-specific availability should be confirmed with the vendor.
User Access Management
Control user entry and feature availability through role-based permissions and secure credentials.
Data Backup & Restoration
Generate data backups and offer solutions for restoring lost or deleted information.
Database Migration & Upgrades
Transfer datasets between systems or perform version upgrades on database environments.
Database Replication
The practice of duplicating data across multiple nodes or locations to ensure redundancy.
Format-Based Data Conversion
Convert and reformat data between different database structures.
Mobile Device Compatibility
Utilize the platform features from any location using smartphones or tablets.
Polyglot Language Support
Supports query execution and procedures across various languages including SQL, Python, and Java.
NoSQL Database Management
Non-relational database management focused on flexible schemas and document-oriented storage.
Database Performance Analytics
Evaluate and report on the efficiency and health of database systems.
Relational Database (RDBMS)
Manage structured data through defined relationships and tables.
Data Virtualization
Access and interact with information layers without needing exposure to underlying infrastructure.
Pricing
GraphDB pricing
Starting price
Pricing not listed
Visit Website
Pricing model: Usage Based
Pricing can change. Confirm current plans and terms with the vendor.
Compare
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Software reviews
GraphDB software reviews
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FAQ
GraphDB FAQs
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.
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.
Pricing can change. Confirm current plans and terms with the vendor.
GraphDB is listed in Database Software.
GraphDB is listed with Ontotext as the vendor.
Buyers often compare GraphDB with other Database Software tools such as MySQL, Microsoft SQL Server, MongoDB, Oracle Database. Review ratings, pricing, and fit before choosing.
Yes. Use the Write a review button on this page to submit a software review for GraphDB.
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