--- description: Detailed reviews on GraphDB based on features, pricing, usability, and ratings. Get a quick overview advantages and disadvantages. Compare GraphDB with similar products. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: GraphDB Reviews, Prices & Ratings | GetApp Canada 2026 --- Breadcrumb: [Home](/) > [Database Software](/directory/459/database/software) > [GraphDB](/software/112437/graphdb) # GraphDB Canonical: https://www.getapp.ca/software/112437/graphdb Page: 1 / 2\ Next: [Next page](https://www.getapp.ca/software/112437/graphdb?page=2) > Gemini каза GraphDB is an enterprise RDF triplestore for KG and AI. Built on W3C standards, it scales complex data integration and improves LLM accuracy via agentic workflows. It uses inference and synced Elasticsearch/OpenSearch indexes to uncover insights, ensuring high availability via clusters. > > Verdict: Rated **4.7/5** by 26 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Key benefits of GraphDB Higher AI Accuracy \& Reliability: Acts as a "trusted semantic backbone" for LLMs, grounding responses in verified facts to eliminate hallucinations and improve precision. Seamless Data Integration: Unifies fragmented data from disparate silos and heterogeneous sources into a single, cohesive knowledge graph without requiring labor-intensive migrations. Real-Time Semantic Insights: One of the few triple stores capable of performing real-time inferencing at scale, allowing you to derive new facts and relationships from existing data automatically. Scalable Enterprise Performance: Audited on the LDBC Social Network Analysis Benchmark, it supports massive datasets with high availability, automatic failover, and multi-cluster deployments. Reduced AI Costs: Optimizes infrastructure by using GraphRAG (Retrieval-Augmented Generation) to minimize expensive LLM token usage and complex query overhead. Zero-Maintenance Search: Features automatically synchronize similarity indexes with Elasticsearch and OpenSearch, ensuring semantic search results are always up to date without manual reindexing. Standards-Based Interoperability: Fully compliant with W3C standards (RDF 1.1, SPARQL 1.1, and RDF-star), ensuring long-term data portability and compatibility with the global semantic web. Faster Time-to-Market: Accelerates development with pre-integrated engines, a no-code sandbox for experimentation, and "Talk to Your Graph" features for natural language data interaction. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.7/5** | 26 Reviews | | Ease of Use | 4.6/5 | Based on overall reviews | | Customer Support Software | 4.5/5 | Based on overall reviews | | Value for Money | 4.6/5 | Based on overall reviews | | Features | 4.5/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Ontotext - **Location**: Sofia, Bulgaria - **Founded**: 2008 ## Commercial Context - **Pricing model**: Usage Based (Free version available) (Free Trial) - **Pricing Details**: GraphDB offers a 60-day free trial for new users, after which the software is available across 2 pricing tiers - GraphDB Enterprise and GraphDB Free on a perpetual license basis. Please contact Graphwise directly for pricing information. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise) - **Supported Languages**: English - **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 209 more ## Features - API - Access Controls/Permissions - Activity Dashboard - Authentication Software - Backup and Recovery - Data Capture and Transfer - Data Connectors - Data Import/Export - Data Mapping - Data Recovery - Data Replication - Data Retrieval - Data Storage Management - Data Synchronization - Data Verification - Data Virtualization - Data Visualization Software - Database Support - Full Text Search - Graph Database ## Integrations (1 total) - MongoDB ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base Software - Phone Support - Chat ## Category - [Database Software](https://www.getapp.ca/directory/459/database/software) ## Related Categories - [Database Software](https://www.getapp.ca/directory/459/database/software) - [NoSQL Databases Software](https://www.getapp.ca/directory/2051/nosql-databases/software) ## Alternatives 1. 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[Oracle Database](https://www.getapp.ca/software/2053918/oracle-database) — 4.6/5 (471 reviews) ## Reviews ### "The best RDF graph database in the market" — 5.0/5 > **Stratos** | *December 6, 2023* | Information Services | Recommendation rating: 10.0/10 > > **Pros**: - Compliance to all the W3C standards, including SHACL. - User-friendly UI. - Aesthetically superior visualizations. - Great documentation: As detailed as it needs to be, but not more than that. - Great technical support (even for the GraphDB Free version users) that responds almost immediately. > > **Cons**: I honestly cannot think of anything negative to say about the tool and the customer support. Even though the company behind the tool (Ontotext) is a big global enterprise, every interaction I have with them feels like they genuinely care about whatever issues I am having with GraphDB and honestly want to help out in resolving it. > > I have been using GraphDB for several years now and in almost all the positions I have worked for. In my opinion, it is by far the best tool out there for managing RDF graph databases. I love the simplicity of the interface, the practicality and aesthetic superiority of the visualizations and the overal "smoothness" that comes with using it. I cannot stress enough how great the technical support has always been at responding blazingly fast and always providing solutions to various issues one may come accross, even if they are GraphDB Free users. ----- ### "Nearly instantaneous, rich-featured semantic repository" — 5.0/5 > **Mark** | *October 29, 2019* | Research | Recommendation rating: 10.0/10 > > **Pros**: It's very quick and easy to deploy GraphDB, ingest some RDF data, build queries in a IDE-like environment, and visualize relationships. A semantic similarity search tool is provided. > > **Cons**: The OntoRefine tool is great for converting tabular data files into semantic triples, but there's no support for reading from relational databases. There are nice free text indexing \& search tools, but no natural language parser for discovering entities and relationships. There are several pre-configured reasoning levels plus support for writing one's own rules, but no support for SWRL. Like most triplesotres, OWL2 reasoning over complex axioms and millions of data triples isn't fun/fast/realistic? (I say that based on a single node, two threads, and 256 GB RAM.) > > There are other triple stores with different feature sets, but it don't think there's any triplestore that is better than GraphDB. ----- ### "review of graphdb in the production planning" — 4.0/5 > **Alexander** | *November 5, 2019* | Research | Recommendation rating: 6.0/10 > > **Pros**: - ease of use (compared to other semantic web stack solutions) - degree of inferencing implementation - solution for transforming relational data into RDF with OpenRefine integration - query performance (for SELECT, a evaluation for INSERT queries could not be given due to use of free version) - good support even at free version > > **Cons**: - versioning of data (see changes over time) - better controllability of role and rights (give rights for specific graphs in repository) - no IdP based authentiaction like OpenID Connect (or something based on oAuth2 or at least SAML) - easy to use integration for object storage (like AWS S3) - documentation could be more detailed in some places > > We are currently using graphdb in a PoC as semantic web stack compliant database for data integration in a laboratory environment. ----- ### "GraphDB" — 5.0/5 > **Joop** | *November 5, 2019* | Government Administration | Recommendation rating: 8.0/10 > > **Pros**: I can be very short about my (our) experiences so far with GraphDB. GraphDB is a clear winner for our usecases now. The learning curve is not steep, almost self-explanatory. It’s fast and it fits our needs; for now. We loved the graphics of GraphDB. > > **Cons**: OntoRefine. It looks fine but we missed some modeling features. We switched back to OpenRefine. > > We use GraphDB together with PoolParty as part of the Semantic Integrator solution. We use GraphDB as our test triple store. We use GraphDB to publish our "small" linked open data sets. ----- ### "One of the best for graph databases" — 4.0/5 > **Verified Reviewer** | *October 3, 2019* | Research | Recommendation rating: 8.0/10 > > **Pros**: Sparql support. Ease of setup. Webservice api. Functionality of free version. > > **Cons**: Speed changes after some updates. Removal from GCC > > The use of graphDB solves many speed issues as it is very fast. The webservice api allows manipulation of the repositories (create, delete, import). The only problem is that after some updates, the speed of the endpoint queries dorps very much. An example for this if the migration from v8.11.1 to v9.0. I am using the free version but in a single thread and they mention that the only limitation of the free version is the limitation of simultaneous queries to only two. I had the same problems when i tried the enterprise edition for a trial period and never managed to reach the speed of the free version with any change I tried in the setup or options. ----- Page: 1 / 2\ Next: [Next page](https://www.getapp.ca/software/112437/graphdb?page=2) ## Links - [View on GetApp](https://www.getapp.ca/software/112437/graphdb) ## This page is available in the following languages | Locale | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | | fr | | | fr-BE | | | fr-CA | | ----- ## Structured Data