Ratings Breakdown
User Reviews Overview
Feature Ratings
Ease-of-use
4.5 / 5
Value for Money
4.5 / 5
Customer Support
4.5 / 5
Functionality
4.5 / 5
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."
"OntoRefine is a great way of moving tabular data in triples. The APIs are very well designed, Customer service and technical support is excellent "
"Easy to use, user-friendly interface, it makes my life easier!"
Cons
"Cost for licensing to use by educational institutes and researcher faculty members"
"Explore function could be better developed. Other tool provide the ability to search by triples (not through SPARQL)"
"The UI should be better like MS Mangement Studio. Also the server services etc should be part of the software rather starting it manually."
GraphDB Reviews
Filter by:
March 2018
Peter from Morris Catholic H.S.
Company Size: 51-200 employees
Industry: Education Management
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
4.0
Value for money
3.0
Customer support
5.0
Functionality
5.0
March 2018
Very easy to use. Great support.
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.
October 2019
Mark from University of Pennsylvania
Company Size: 10,000+ employees
Industry: Research
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
4.0
October 2019
Nearly instantaneous, rich-featured semantic repository
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.)
Reasons for Choosing GraphDB
Great SPARQL query building environment. Built in visualizations. Fully functional 2-core version and reasonable academic prices.
Reasons for Switching to GraphDB
Easier to deploy and configure. Better SPARQL query building environment. Built in visualizations. GUI for importing tabular data.

Response from Ontotext
Replied November 2019
Thank you for your feedback, dear Mark! We will address all the recommendations you have left to the production team. Be well
November 2019
Alexander from TU Braunschweig
Company Size: 1,001-5,000 employees
Industry: Research
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
4.0
Functionality
3.0
November 2019
review of graphdb in the production planning
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
Reasons for Choosing GraphDB
- extensive free version - ease of use (frist time usage of an rdf triplestore / graph database) - visualization - beginner-friendly documentation

Response from Ontotext
Replied November 2019
Thank you for your feedback!
November 2019
Joop from Cultural Heritage Agency of the Netherlands
Company Size: 201-500 employees
Industry: Government Administration
Time Used: Less than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Functionality
4.0
November 2019
GraphDB
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.
Reasons 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.
Reasons for Switching to GraphDB
Virtuoso was too big and too complicated for our use.

Response from Ontotext
Replied November 2019
Thank you for your feedback, Joop. Be well!
October 2019
Adonay Andres from Geckode.mx
Company Size: 2-10 employees
Industry: Information Technology and Services
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
October 2019
The best Ontological Database Engine
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.
Reasons 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.

Response from Ontotext
Replied November 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
October 2019
Anonymous
Company Size: 11-50 employees
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Functionality
5.0
October 2019
One of the best for graph databases
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

Response from Ontotext
Replied October 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
October 2019
Anonymous
Company Size: 1,001-5,000 employees
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Functionality
5.0
October 2019
Perfect tool for your knowledge graph
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

Response from Ontotext
Replied November 2019
Hi and thank you for your feedback! Could you specify what bothers you in the way it represents class hierarchy? Best Regards,
October 2019
Stanislav from Computer Software
Company Size: 1 employee
Industry: Computer Software
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
4.0
October 2019
Perhaps the best choice for mid-size company
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.

Response from Ontotext
Replied November 2019
Thank you, for your feedback, Stanislav!
March 2018
Nikesh from Retail company
Company Size: 10,000+ employees
Industry: Retail
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
March 2018
Amazing i will say. Easy to use and interpret the requirements to real.
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.
March 2018
Anonymous
Company Size: 11-50 employees
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
4.0
Value for money
5.0
Customer support
5.0
Functionality
4.0
March 2018
This is an excellent platform to get started in graph databases and knowledge representation.
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?
March 2018
Madhusudhan from Happiest Minds Technologies Pvt Ltd.
Company Size: 1,001-5,000 employees
Industry: Information Technology and Services
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
3.0
Value for money
4.0
Customer support
3.0
Functionality
4.0
March 2018
GraphDB Enterprise is a high-performance semantic repository created by Ontotext. It is implemented.
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.

Response from Ontotext
Replied March 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,
March 2018
Niels from Wageningen Univiversity and Research
Company Size: 1,001-5,000 employees
Industry: Biotechnology
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
4.0
Customer support
4.0
Functionality
4.0
March 2018
Review of the free version, its great! Easy and simple to install and use
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
March 2018
Piush from University of Duisburg Essen
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
4.0
Functionality
4.0
March 2018
Memory Efficient and easy to understand
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.
March 2018
Panagiotis from CSRI/SENTIGEEK
Company Size: 2-10 employees
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
March 2018
Great Graph Database Implementation with very good Rest service.
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.
March 2018
Gopikrishnan from Openclinical.net
Company Size: 2-10 employees
Industry: Hospital & Health Care
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
4.0
Value for money
4.0
Customer support
5.0
Functionality
5.0
March 2018
Excellent triple store. I use it all the time. I've been using it for several years now.
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.

Response from Ontotext
Replied March 2018
Thank you for your great review, Gopikrishnan!
March 2018
Danoosh from University of Alberta
Industry: Higher Education
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
March 2018
Fast, reliable and easy to use
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)
March 2018
Paul from Polytechnique Montréal
Company Size: 1,001-5,000 employees
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
4.0
Value for money
5.0
Customer support
4.0
Functionality
4.0
March 2018
I used it for a research project
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.

Response from Ontotext
Replied March 2018
Thank you for the great feedback and review, Paul. Have you tried to mail to our support team or asking on StackOverflow?
March 2018
Anonymous
Company Size: 201-500 employees
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
4.0
Value for money
5.0
Customer support
2.0
Functionality
4.0
March 2018
Easy to use, reliable performance.
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.
March 2019
Eric from SFC
Company Size: 201-500 employees
Industry: Financial Services
Review Source: Capterra
Ease-of-use
5.0
Functionality
5.0
March 2019
Great
Pros
Easy to use, user-friendly interface, it makes my life easier!
Cons
none

Response from Ontotext
Replied March 2019
Eric, thank you for your review! Much appreciated! Best Regards!
June 2017
Luiz from computer-based exams
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
4.0
Value for money
4.0
Customer support
5.0
Functionality
5.0
June 2017
Sharp and quick
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.

Response from Ontotext
Replied June 2017
Thank you for your feedback, Luiz!
February 2018
Anonymous
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
February 2018
quick
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.

Response from Ontotext
Replied February 2018
Thank you for the great review! Enjoy GraphDB!
May 2018
Anonymous
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
May 2018
Test GraphDB Free with Semantic Mediawiki
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