Who Uses This Software?

GraphDB is the preferred semantic graph database for Media Companies, Publishers, Museums, Science, Healthcare and Biotech Researches, Insurance, Business and Risk Intelligence, Marketing Services.

Average Ratings

24 reviews
  • Overall 4.7 / 5
  • Ease of Use 4.6 / 5
  • Customer Service 4.4 / 5
  • Features 4.5 / 5
  • Value for Money 4.6 / 5

Product Details

  • Free Version Yes
  • Free Trial Yes
  • Deployment Installed - Mac
    Cloud, SaaS, Web
    Installed - Windows
  • Training In Person
    Live Online
    Webinars
    Documentation
  • Support Business Hours
    Online

Vendor Details

  • Ontotext
  • http://www.ontotext.com/
  • Founded 2008

About GraphDB

GraphDB is a semantic graph database that serves organizations to store, organize and manage content in the form of semantically enriched smart data. GraphDB includes Data integration and interlinking, W3C standards compliance, expressive, rich and flexible data model, single interconnected information space formed by structured data and text documents, reasoning, linked open data Compatibility and data provenance.

GraphDB Features

  • Access Controls/Permissions
  • Backup and Recovery
  • Data Migration
  • Data Replication
  • Database Conversion
  • Mobile Access
  • Multiple Programming Languages Supported
  • NOSQL
  • Performance Analysis
  • Relational
  • Virtualisation

GraphDB Most Helpful Reviews

Nearly instantaneous, rich-featured semantic repository

Reviewed on 29/10/2019
Mark M.
ontologist
Research, 10,001+ Employees
Used the Software for: 2+ years
Reviewer Source 
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend:
Not Likely Extremely Likely

Comments: 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.)

Vendor Response

by Ontotext on 04/11/2019

Thank you for your feedback, dear Mark! We will address all the recommendations you have left to the production team. Be well

GraphDB

Reviewed on 05/11/2019
Joop V.
Data modeller
Government Administration, 201-500 Employees
Used the Software for: 1+ year
Reviewer Source 
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
Customer Support
5 / 5
Value for Money
Likelihood to Recommend:
Not Likely Extremely Likely

Comments: 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.

Vendor Response

by Ontotext on 11/11/2019

Thank you for your feedback, Joop. Be well!

The best Ontological Database Engine

Reviewed on 29/10/2019
Adonay andres A.
CTO
Information Technology & Services, 2-10 Employees
Used the Software for: 2+ years
Reviewer Source 
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend:
Not Likely Extremely Likely

Comments: 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.

Vendor Response

by Ontotext on 04/11/2019

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

One of the best for graph databases

Reviewed on 03/10/2019
Verified Reviewer
Research Associate
Research, 13-50 Employees
Used the Software for: 2+ years
Reviewer Source 
4/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
Customer Support
Value for Money
Likelihood to Recommend:
Not Likely Extremely Likely

Comments: 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

Vendor Response

by Ontotext on 08/10/2019

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 [email protected]
My colleagues will take care of you further. Be well, Regards, Milen

review of graphdb in the production planning

Reviewed on 05/11/2019
Alexander R.
Research assistent
Research, 1,001-5,000 Employees
Used the Software for: 6-12 months
Reviewer Source 
4/5
Overall
4 / 5
Ease of Use
3 / 5
Features & Functionality
Customer Support
Value for Money
Likelihood to Recommend:
Not Likely Extremely Likely

Comments: 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

Vendor Response

by Ontotext on 06/11/2019

Thank you for your feedback!

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