Ontotext

Graph DB

5 / 5 14 reviews

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

14 Reviews
  • 5 / 5
    Overall
  • 4.5 / 5
    Ease of Use
  • 4.5 / 5
    Customer Service

Product Details

  • Starting Price
    Not provided by vendor
  • Free Version
    Yes
  • Deployment
    Cloud, SaaS, Web
    Installed - Mac
    Installed - Windows
  • Training
    Documentation
    Webinars
    Live Online
    In Person
  • Support
    Business Hours

Vendor Details

  • Ontotext
  • www.ontotext.com/
  • Founded 2008
  • Bulgaria

About Graph DB

Graph DB is a semantic graph database that serves organizations to store, organize and manage content in the form of semantically enriched smart data. Graph DB 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.


Graph DB Features

  • Backup
  • Creation / Development
  • Data Migration
  • Data Replication
  • Data Search
  • Database Conversion
  • Monitoring
  • Performance Analysis
  • Queries
  • Relational Interface
  • Virtualization

Graph DB Reviews Recently Reviewed!


Test GraphDB Free with Semantic Mediawiki

May 11, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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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

Overall: Speed up performance

Review of the free version, its great! Easy and simple to install and use

Mar 13, 2018
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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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

Overall: Easy setup and install of local graphDB by loading .ttl files. Hdt support would be appreiciated

GraphDB Enterprise is a high-performance semantic repository created by Ontotext. It is implemented.

Mar 09, 2018
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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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.

Overall: NA

Vendor Response

by Ontotext on 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,

Easy to use, reliable performance.

Mar 09, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
2 / 5
Customer Support
5 / 5
Value for Money

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.

Capterra-loader

I used it for a research project

Mar 09, 2018
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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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.

Overall: Easy set-up, works out of the box.

Vendor Response

by Ontotext on 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?

Capterra-loader

Fast, reliable and easy to use

Mar 09, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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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)

Excellent triple store. I use it all the time. I've been using it for several years now.

Mar 07, 2018
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
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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.

Overall: Triple store database for my semantic web and linked data applications.

Vendor Response

by Ontotext on March 08, 2018

Thank you for your great review, Gopikrishnan!

Amazing i will say. Easy to use and interpret the requirements to real.

Mar 07, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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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.

Memory Efficient and easy to understand

Mar 06, 2018
5/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money

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.

Capterra-loader

Very easy to use. Great support.

Mar 06, 2018
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
3 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
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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.

Overall: Ease of use.

This is an excellent platform to get started in graph databases and knowledge representation.

Mar 06, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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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?

Overall: 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)

Great Graph Database Implementation with very good Rest service.

Mar 06, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
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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.

quick

Feb 17, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
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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.

Vendor Response

by Ontotext on February 19, 2018

Thank you for the great review! Enjoy GraphDB!

Sharp and quick

Jun 01, 2017
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 7.0/10 Not
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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.

Vendor Response

by Ontotext on June 02, 2017

Thank you for your feedback, Luiz!