Wer nutzt diese Software?

GraphDB ist die bevorzugte semantische Graph-Datenbank für Medienunternehmen, Verlage, Museen, Wissenschaft, Forschung im Bereich Gesundheitswesen und Biotechnologie, Versicherungen, Geschäfts- und Risikoanalysen, Marketingdienste.

Durchschnittliche Bewertung

24 Bewertungen
  • Gesamt 4.7 / 5
  • Benutzerfreundlichkeit 4.6 / 5
  • Kundenservice 4.4 / 5
  • Funktionen 4.5 / 5
  • Preis-Leistungs-Verhältnis 4.6 / 5

Produktinformationen

  • Kostenlose Version Ja
  • Gratis Testen Ja
  • Einsatz Installiert - Mac
    Cloud, SaaS, Web
    Installiert - Windows
  • Training Persönlich
    Live Online
    Webinare
    Dokumentation
  • Kundenbetreuung Support während der Geschäftszeiten
    Online

Angaben zum Hersteller

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

Über GraphDB

Graph DB ist eine semantische Graph-Datenbank, mit der Organisationen Inhalte in Form semantisch angereicherter intelligenter Daten speichern, organisieren und verwalten können. Graph DB umfasst Datenintegration und -verknüpfung, Einhaltung der W3C-Standards, ausdrucksstarkes, umfangreiches und flexibles Datenmodell, einen einzigen zusammenhängenden Informationsbereich, der aus strukturierten Daten und Textdokumenten besteht, Argumentation, verknüpfte Open-Data-Kompatibilität und Datenherkunft.

GraphDB Funktionen

  • Backup und Recovery
  • Datenbank-Umwandlung
  • Datenmigration
  • Datenreplikation
  • Leistungsanalyse
  • Mobiler Zugriff
  • NOSQL
  • Relational
  • Unterstützt zahlreiche Programmiersprachen
  • Virtualisierung
  • Zugriffskontrollen/Berechtigungen

Die hilfreichsten Reviews für GraphDB

Nearly instantaneous, rich-featured semantic repository

Bewertet am 29.10.2019
Mark M.
ontologist
Forschung, 10.001+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: There are other triple stores with different feature sets, but it don't think there's any triplestore that is better than GraphDB.

Vorteile: 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.

Nachteile: 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.)

Antwort des Softwareanbieters

von Ontotext an 4.11.2019

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

GraphDB

Bewertet am 5.11.2019
Joop V.
Data modeller
Staatsverwaltung, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Quelle des Nutzers 
5/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: 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.

Vorteile: 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.

Nachteile: OntoRefine. It looks fine but we missed some modeling features. We switched back to OpenRefine.

Antwort des Softwareanbieters

von Ontotext an 11.11.2019

Thank you for your feedback, Joop. Be well!

The best Ontological Database Engine

Bewertet am 29.10.2019
Adonay andres A.
CTO
Informationstechnologie & -dienste, 2-10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5/5
Gesamt
5 / 5
Benutzerfreundlichkeit
5 / 5
Eigenschaften & Funktionalitäten
5 / 5
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: 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.

Vorteile: 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.

Nachteile: 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.

Antwort des Softwareanbieters

von Ontotext an 4.11.2019

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

Bewertet am 3.10.2019
Verifizierter Rezensent
Research Associate
Forschung, 13-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
4/5
Gesamt
5 / 5
Benutzerfreundlichkeit
5 / 5
Eigenschaften & Funktionalitäten
Kundenbetreuung
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: 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.

Vorteile: Sparql support.
Ease of setup.
Webservice api.
Functionality of free version.

Nachteile: Speed changes after some updates.
Removal from GCC

Antwort des Softwareanbieters

von Ontotext an 8.10.2019

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 graphdb-support@ontotext.com
My colleagues will take care of you further. Be well, Regards, Milen

review of graphdb in the production planning

Bewertet am 5.11.2019
Alexander R.
Research assistent
Forschung, 1.001-5.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Quelle des Nutzers 
4/5
Gesamt
4 / 5
Benutzerfreundlichkeit
3 / 5
Eigenschaften & Funktionalitäten
Kundenbetreuung
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: We are currently using graphdb in a PoC as semantic web stack compliant database for data integration in a laboratory environment.

Vorteile: - 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

Nachteile: - 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

Antwort des Softwareanbieters

von Ontotext an 6.11.2019

Thank you for your feedback!

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