--- description: Scopri le funzionalità di GraphDB, i dettagli del prodotto, chi utilizza il software e quali sono i prodotti suggeriti. Attraverso le recensioni di utenti verificati potrai capire com’è la user experience, l’assistenza post-vendita e molto altro. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: GraphDB - Prezzi, recensioni, informazioni - Capterra Italia 2026 --- Breadcrumb: [Home](/) > [Software per la gestione del database](/directory/18/database-management/software) > [GraphDB](/software/157533/graph-db) # GraphDB Canonical: https://www.capterra.it/software/157533/graph-db Pagina: 1/2\ Avanti: [Pagina successiva](https://www.capterra.it/software/157533/graph-db?page=2) > Un repository semantico, un sistema di database NoSQL utilizzato per l'archiviazione, le query e la gestione di dati strutturati e non. > > Conclusione: valutazione di **4.7/5** stelle assegnate da 26 utenti. Miglior punteggio per il parametro **Lo consiglieresti?**. ----- ## Panoramica ### Chi utilizza GraphDB? GraphDB è un database di grafici semantici molto utilizzato dalle aziende di media, editori, musei, scienze, sanità e ricerche biotecnologiche, assicurazioni, business e intelligence sul rischio, servizi di marketing. ## Statistiche e valutazioni | Parametro | Valutazione | Dettaglio | | **Nel complesso** | **4.7/5** | 26 Recensioni | | Facilità d'uso | 4.6/5 | Sulla base delle recensioni complessive | | Assistenza clienti | 4.5/5 | Sulla base delle recensioni complessive | | Rapporto qualità-prezzo | 4.6/5 | Sulla base delle recensioni complessive | | Funzionalità | 4.5/5 | Sulla base delle recensioni complessive | | Percentuale di raccomandazione | 90% | (9/10 Lo consiglieresti?) | ## Informazioni sul fornitore - **Azienda**: Ontotext - **Area geografica**: Sofia, Bulgaria - **Anno di fondazione**: 2008 ## Contesto commerciale - **Modello tariffario**: (Versione gratuita disponibile) (Versione di prova gratuita (free trial)) - **Pubblico target**: Lavoratore autonomo, 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Implementazione e piattaforme**: Cloud, SaaS, Web, Mac (desktop), Windows (desktop), Linux (desktop), Windows (locale), Linux (locale) - **Lingue supportate**: inglese - **Paesi disponibili**: Afghanistan, Albania, Algeria, Andorra, Angola, Anguilla, Antigua e Barbuda, Arabia Saudita, Argentina, Armenia, Aruba, Australia, Austria, Azerbaigian, Bahamas, Bahrein, Bangladesh, Barbados, Belgio, Belize e altri 209 ## Funzionalità - Backup e ripristino - Database a grafo - Gestione dei servizi di storage - Importazione/Esportazione di dati - Recupero dei dati - Replica di dati - Ricerca/Filtro - Sincronizzazione di dati ## Integrazioni (1 in totale) - MongoDB ## Opzioni di supporto - Email/Help desk - FAQ/Forum - Knowledge Base - Assistenza telefonica - Chat ## Categoria - [Software per la gestione del database](https://www.capterra.it/directory/18/database-management/software) ## Categorie correlate - [Software per la gestione del database](https://www.capterra.it/directory/18/database-management/software) - [Software per database NoSQL](https://www.capterra.it/directory/32257/nosql-databases/software) ## Alternative 1. [Microsoft SQL Server](https://www.capterra.it/software/1417/sql-server) — 4.6/5 (1974 reviews) 2. [MySQL](https://www.capterra.it/software/11482/mysql) — 4.6/5 (2094 reviews) 3. [MongoDB](https://www.capterra.it/software/127374/mongodb) — 4.7/5 (468 reviews) 4. [Airtable](https://www.capterra.it/software/146652/airtable) — 4.6/5 (2222 reviews) 5. [Oracle Database](https://www.capterra.it/software/5938/oracle-database) — 4.6/5 (471 reviews) ## Recensioni ### "The best RDF graph database in the market" — 5.0/5 > **Stratos** | *6 dicembre 2023* | Servizi di informazione | Tasso di raccomandazione: 10.0/10 > > **Vantaggi**: - 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. > > **Inconvenienti**: 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. > > 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. ----- ### "Nearly instantaneous, rich-featured semantic repository" — 5.0/5 > **Mark** | *29 ottobre 2019* | Ricerca | Tasso di raccomandazione: 10.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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.) > > There are other triple stores with different feature sets, but it don't think there's any triplestore that is better than GraphDB. ----- ### "review of graphdb in the production planning" — 4.0/5 > **Alexander** | *5 novembre 2019* | Ricerca | Tasso di raccomandazione: 6.0/10 > > **Vantaggi**: - 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 > > **Inconvenienti**: - 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 > > We are currently using graphdb in a PoC as semantic web stack compliant database for data integration in a laboratory environment. ----- ### "GraphDB" — 5.0/5 > **Joop** | *5 novembre 2019* | Amministrazione pubblica | Tasso di raccomandazione: 8.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: OntoRefine. It looks fine but we missed some modeling features. We switched back to OpenRefine. > > 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. ----- ### "One of the best for graph databases" — 4.0/5 > **Utente Verificato** | *3 ottobre 2019* | Ricerca | Tasso di raccomandazione: 8.0/10 > > **Vantaggi**: Sparql support. Ease of setup. Webservice api. Functionality of free version. > > **Inconvenienti**: Speed changes after some updates. Removal from GCC > > 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. ----- Pagina: 1/2\ Avanti: [Pagina successiva](https://www.capterra.it/software/157533/graph-db?page=2) ## Link - [Visualizza su Capterra](https://www.capterra.it/software/157533/graph-db) ## Questa pagina è disponibile nelle seguenti lingue | Lingua | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ko | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Dati strutturati