# GraphDB Reviews 2026. Verified Reviews, Pros & Cons | Capterra > Is GraphDB the right Database solution for you? Explore 26 verified user reviews from people in industries like yours to make a confident choice. Source: https://www.capterra.com/p/157533/Graph-DB/reviews --- GraphDB 4.7 (26) [View alternatives](https://www.capterra.com/p/157533/Graph-DB/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated March 30th, 2026 # Reviews of GraphDB Ease of use 4.6 Customer Service 4.5 ## Pros and Cons in Reviews Stratos K Knowledge Graph EngineerInformation Services, 11 - 50 employeesUsed the software for: More than 2 years. “Great technical support (even for the GraphDB Free version users) that responds almost immediately.“ December 6, 2023 ## Showing most helpful reviews Showing 1-25 of 26 Reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use Stratos K. Knowledge Graph Engineer Information Services Used the software for: 2+ years ### "The best RDF graph database in the market" December 6, 2023 5.0 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. 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. Review Source MM Mark M. ontologist Research Used the software for: 2+ years ### "Nearly instantaneous, rich-featured semantic repository" October 29, 2019 5.0 There are other triple stores with different feature sets, but it don't think there's any triplestore that is better than GraphDB. 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.) Alternatives considered [Stardog](https://www.capterra.com/p/169579/Stardog/) Reason for choosing GraphDB Great SPARQL query building environment. Built in visualizations. Fully functional 2-core version and reasonable academic prices. Switched from [Virtuoso Universal Server](https://www.capterra.com/p/76830/Virtuoso/) Easier to deploy and configure. Better SPARQL query building environment. Built in visualizations. GUI for importing tabular data. Review Source Response from Ontotext November 4, 2019 Thank you for your feedback, dear Mark! We will address all the recommendations you have left to the production team. Be well AR Alexander R. Research assistent Research Used the software for: 6-12 months ### "review of graphdb in the production planning" November 5, 2019 4.0 We are currently using graphdb in a PoC as semantic web stack compliant database for data integration in a laboratory environment. 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 Alternatives considered [Stardog](https://www.capterra.com/p/169579/Stardog/)[MarkLogic](https://www.capterra.com/p/129649/MarkLogic/)[Virtuoso Universal Server](https://www.capterra.com/p/76830/Virtuoso/) Reason for choosing GraphDB \- extensive free version - ease of use (frist time usage of an rdf triplestore / graph database) - visualization - beginner-friendly documentation Review Source Response from Ontotext November 6, 2019 Thank you for your feedback! JV Joop V. Data modeller Government Administration Used the software for: 1-2 years ### "GraphDB" November 5, 2019 5.0 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. 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. Alternatives considered [Stardog](https://www.capterra.com/p/169579/Stardog/) Reason for choosing GraphDB Stardog is very good, but some things, like sharing the databases, adding data were not so straight forward. Stardog had problems with gzip files or any other files than trig. Switched from [Virtuoso Universal Server](https://www.capterra.com/p/76830/Virtuoso/) Virtuoso was too big and too complicated for our use. Review Source Response from Ontotext November 11, 2019 Thank you for your feedback, Joop. Be well! VR Verified Reviewer Research Associate Research Used the software for: 2+ years ### "One of the best for graph databases" October 3, 2019 4.0 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. Pros Sparql support. Ease of setup. Webservice api. Functionality of free version. Cons Speed changes after some updates. Removal from GCC Review Source Response from Ontotext October 8, 2019 Hi and thank you for your honest review. We want to help you solve all that bothers you when using GraphDB. Gould you write to our GraphDB Support team to investigate your problem with the speed. Please email them to graphdb-support@ontotext.com My colleagues will take care of you further. Be well, Regards, Milen VR Verified Reviewer Research Assistant Research Used the software for: 2+ years ### "Perfect tool for your knowledge graph" October 29, 2019 5.0 I am using GraphDB for visualizing data which I created for our two EU project I am working on. One is a Healthcare project with NHS Scotland and the other is a transportation project. I also advise​ the ​student of my class to use this product which has a ​grate feature. Pros \-Seamless​ navigation from one tab to another tab -Similarity​ matrix -Index -Visualization -Google map view -documentation Cons \-the way it represents​ class hierarchy -NA Review Source Response from Ontotext November 4, 2019 Hi and thank you for your feedback! Could you specify what bothers you in the way it represents class hierarchy? Best Regards, VR Verified Reviewer Knowledge Engineer Used the software for: Less than 6 months ### "This is an excellent platform to get started in graph databases and knowledge representation." March 6, 2018 4.0 I learned a tremendous amount about data structures / formats, and through iterative work, I learned more about how to structure an ontology. (Note: Accounting is not my industry, even though this survey suggests I'm in accounting) Pros 1) The ease of import/export. 2) The visualizations, overall platform direction, and ease of updates. 3) Class hierarchies and visual graph. 4) SPARQL Query & Update (Editor and Results) feature. Cons 1) Tutorials. These could be greatly improved. 2) Import fails are difficult to clear? 3) Interdisciplinary users have difficulty interpreting impact of "repository setup" selections. 4) Broad description specific to each feature / utility and how it can be utilized. For example, this is a Graph Database tool, but can any aspect be specifically used for ontologies. If yes, which one and to what specificity? Review Source Panagiotis D. Research Associate Research Used the software for: Less than 6 months ### "Great Graph Database Implementation with very good Rest service." March 6, 2018 5.0 Pros \-The Ease of Use of the Rest service which allows you to import vast data at once. -The speed of the server even in the free edition with the limited number of the concurrent queries. Cons If I had to pick something, it would be the heavy workbench that uses too much memory. It is expected in general but still it is annoying to have a non responsive browser after a few hours. Review Source Peter C. President Education Management Used the software for: 6-12 months ### "Very easy to use. Great support." March 6, 2018 5.0 Ease of use. Pros Very easy to use when trying to parse through qualitative data for my dissertation. Needed to code data from multiple reflections and interviews. Cons was very easy to use.. took a little while to get up to speed, but once I did, I found it very intuitive and easy to use. Review Source Danoosh D. Metadata Analyst Higher Education Used the software for: Less than 6 months ### "Fast, reliable and easy to use" March 9, 2018 5.0 Pros OntoRefine is a great way of moving tabular data in triples. The APIs are very well designed, Customer service and technical support is excellent Cons Explore function could be better developed. Other tool provide the ability to search by triples (not through SPARQL) Review Source AAA Adonay Andres A. CTO Information Technology and Services Used the software for: 2+ years ### "The best Ontological Database Engine" October 29, 2019 5.0 We've had a really good time working with it. Once we have a good model definition (which applies for any graph engine) it simply works and works really well. Pros Over the last years, GraphDB has improved a lot, speaking about performance and inference. Graph DBs have always had the problem of being too slow for solving queries, we always had to structure them in a way that it was optimal for the engine to solve them. Graph DB has been always the most performant one. Another feature that I loved from it is that, in order to install it, you simply copy a single jar file and you're almost ready to go. The user interface helps a lot. And its compliance with several standards for the interchange formats makes the way pretty straight forward no matter what tool was used to generate an interchange file. Cons The con I find with the product is about updates. When a new version comes up (which sometimes I don't know about the fact that there's a new release), I need to manually download it and deploy it. Also it would be desirable if we had access to connectors for different platforms. We work a lot with node.js and there's almost no libraries to use it with graphDB that are backed by ontotext. Reason for choosing GraphDB Not specifically switched from another product. About 8 or 9 years ago, we tested several engines. It turned out that graphDB had the best performance and it was really easy to deploy. So, we decided to stay with it. Review Source Response from Ontotext November 4, 2019 Dear Adonay, thank you for your great feedback! It is always great to see some extended prons and cons of the product you create! Regarding the cons: If you are part of the GraphDB Update announcements list you should receive a note about every update of GraphDB, so you won't be missing anything new. About the connectors: Latest releases of GraphDB support connectors and plugins to MongoDB Lucene, SOLR, Elasticsearch. If you need connectors to other popular services, you should make a request to the GraphDB Production team. Best Regards MR Madhusudhan R. Data analytics Information Technology and Services Used the software for: 6-12 months ### "GraphDB Enterprise is a high-performance semantic repository created by Ontotext. It is implemented." March 9, 2018 4.0 NA Pros Graph database seem to be tailor-mode for networking applications. 1. The prototypical example is a social network,where nodes represent users who have various kinds of relationships to each other.Modeling this kind of data using any of the other styles is offten a tough fit,but a graph database would accept it with relish. 2.They are also perfect matches for a object-oriented system. 3.The Model in a graph database is easier to change than in a relation database. if the type of relationship in an RDBMS changes e.g from 1:N to M:N I need to use DDL to change the model, which may require downtime. I don't have this problem in a graph database where changing the relationships/edges between vertices is much easier. Cons 1\. Graph Database not much connectors. 2. Because of the high degree of interconnectedness between nodes,graph database are generall not suitable for network patitioning. 3. Graph databases don't scale out well. 4. Graph database are poor at aggregating data,Don't use it for Business Intelligence. 5. It is difficult to implement versioning/auditing of data in a graph database. while not impossible it is rather awkward though. Review Source Response from Ontotext March 13, 2018 Dear Madhusudhan, thank you for your time reviewing GraphDB on Capterra. I was a bit confused whether you are reviewing GraphDB in particular or Graph Databases as a whole. Could you be more specific, and in the context of graphDB, please? Witch version of Graph DB are you using? Kind Regards, NS Nicolas S. Phd Student Research Used the software for: 6-12 months ### "GraphDB, an efficient Graph Database" February 7, 2024 5.0 Pros \- Easy to use - Fast to deploy - Performant for reasonement - Support most of important things about W3C ontologies Cons \- Some features are restricted for enterprise (example for some access control features) - Expensive if you work alone and need a license for this kind of infrastructure Review Source SK Stanislav K. Consultant Computer Software Used the software for: 2+ years ### "Perhaps the best choice for mid-size company" October 29, 2019 5.0 Well, GraphDB is definitely one of the "triplestores of choice". It's suitable both for experiments and for production. Pros Good performance, a lot of features, great UI and documentation, ease of administration and use. Cons OWL 2 DL reasoning is not supported. The LPG model (i.e. RDF\*/SPARQL\* or Gremlin) is not supported. Review Source Response from Ontotext November 13, 2019 Thank you, for your feedback, Stanislav! Paul B. Assistant de recherche Used the software for: Less than 6 months ### "I used it for a research project" March 9, 2018 5.0 Easy set-up, works out of the box. Pros Works out of the box, easy configuration. I tried using Jena/Fuseki before, but the configuration is much more laborious and it began unusable after a couple minutes because of memory leaks. No such problem with GraphDB Cons The documentation is not always so good for specific problems. For instance, I tried doing requests to my OntoDB server from outside the web interface with secure accounts activated, but I never found how to request tokens from the server. Review Source Response from Ontotext March 13, 2018 Thank you for the great feedback and review, Paul. Have you tried to mail to our support team or asking on StackOverflow? NS Nikesh S. Head Strategic Program Office Retail Used the software for: 6-12 months ### "Amazing i will say. Easy to use and interpret the requirements to real." March 7, 2018 5.0 Pros Simplicty i liked unlike SQL Databases where relationship becomes so complex and then you Normalize. Being Simple, we can easily handle objects in very easy way. Cons The UI should be better like MS Mangement Studio. Also the server services etc should be part of the software rather starting it manually. Review Source VR Verified Reviewer Information Architect and Digital Innovator Publishing Used the software for: Less than 6 months ### "Easy to use, reliable performance." March 9, 2018 5.0 Pros Ontorefine has some very powerfull features for cleaning data, right where you need it. Visual exploration of graphs is really good and compered to other tools on the market, rund smoothly without draing battery, Cons Autocompletion of sparql queries or some other way of helping developers creating queries. Maybe some template queries for the most basic of queries would be a great help. Review Source VN Vatsala N. Senior Research Associate Information Technology and Services Used the software for: 2+ years ### "GraphDB review?" October 31, 2019 5.0 Overall it is a very experience and since I have started using GraphDB, I have not switched to any other semantic platform. Pros The software is easy to use. The User interface is quite nice, and appealing. The blogs are well written and very informative, and is a good means to keep customers updated with the latest developments in the area of semantics. Cons Get some more documentation on the use of Sparql for example - how to formulate complex joins. Review Source Response from Ontotext November 4, 2019 Thank you for the positive review, Vatsala! Best Regards NZ Niels Z. PhD Biotechnology Used the software for: Less than 6 months ### "Review of the free version, its great! Easy and simple to install and use" March 13, 2018 4.0 Easy setup and install of local graphDB by loading .ttl files. Hdt support would be appreiciated Pros The interface is intuitive and it is easy to use tables returned form graph queries to further browse and explore Cons Visualization of the graph does not work, at least not with the settings I tried (no inference) If graph visualization would be perfect (e.g. see the RDF2Graph) and vizualization could be used to add paterns to the query, I would definetely give GraphDB 5 stars, it would be awesome Review Source VR Verified Reviewer Développeur Used the software for: Less than 6 months ### "quick" February 18, 2018 5.0 Pros with the right knowledge you will be equipped to take advantage of the performance of GraphDB, it is very quick. Cons there is a learning curve so just get ready and have some patience you will get through it and then you will enjoy it. Review Source Response from Ontotext February 19, 2018 Thank you for the great review! Enjoy GraphDB! PA Piush A. Student Used the software for: 6-12 months ### "Memory Efficient and easy to understand" March 6, 2018 5.0 Pros I like its toolkit which provide almost all the feature that you may need while solving any problem. I have used GraphDB for my University assignment , it didn't take much time for me as it is easy to understand and work like plug and play. Cons I like graphDB and i didn't find disadvantage of using it but of course it take lots of time to download and bit slow (sometime) when i used 4 GB ram with intel i3 processor. Review Source GC Gopikrishnan C. Ontologist Hospital & Health Care Used the software for: 2+ years ### "Excellent triple store. I use it all the time. I've been using it for several years now. " March 8, 2018 5.0 Triple store database for my semantic web and linked data applications. Pros Good reasoning support. Fast query response. Good documentation. Good user interface. Excellent API. Good visualisation tools. East to setup, load RDF and query. Cons Can get a bit buggy at times. Occasionally crashes and can slow down the computer when using the standalone application. Review Source Response from Ontotext March 8, 2018 Thank you for your great review, Gopikrishnan! VR Verified Reviewer Analista programmatore Used the software for: Less than 6 months ### "Test GraphDB Free with Semantic Mediawiki" May 11, 2018 5.0 Speed up performance Pros I Like this product because is easy to start, it has a REST api and UI simple to use. The fact that the free version is more or less the same in functionality than the commercial version is also appreciable. Cons In my use case there is not a thing that i don't like, but for further use, I read that transaction is not well implemented, and we hope is possible to configure the url-path of api and gui in a separate way Review Source LA Luiz A. Data Scientist Used the software for: Less than 6 months ### "Sharp and quick" June 1, 2017 4.0 Pros Run smoothly and once you know how to use it you can perform any tasks that involves search in nodes or relations. Good benchmark when executing tasks using Dijkstra's and Prim. Cons Not for beginners, takes a time to learn how to use the sintax for graph dbs but it is the technology language and not the product. Review Source Response from Ontotext June 2, 2017 Thank you for your feedback, Luiz! EL Eric L. Manager Financial Services Used the software for: I used a free trial ### "Great" March 26, 2019 5.0 Pros Easy to use, user-friendly interface, it makes my life easier! Cons none Review Source Response from Ontotext March 27, 2019 Eric, thank you for your review! Much appreciated! Best Regards! 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