--- description: ¿Qué piensan los usuarios de GraphDB? Lee las reseñas y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de GraphDB gracias a Capterra República Dominicana. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: GraphDB - Opiniones, precios y características - Capterra República Dominicana 2026 --- Breadcrumb: [Inicio](/) > [Software de bases de datos](/directory/18/database-management/software) > [GraphDB](/software/157533/graph-db) # GraphDB Canonical: https://www.capterra.do/software/157533/graph-db Página: 1 de 2\ Siguiente: [Página siguiente](https://www.capterra.do/software/157533/graph-db?page=2) > Un repositorio semántico, un sistema de base de datos NoSQL utilizado para el almacenamiento, consulta y gestión de datos estructurados y no estructurados. > > Veredicto: 26 usuarios lo han valorado con **4.7/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Vista rápida ### ¿Quién usa GraphDB? GraphDB es la base de datos de gráficos semánticos preferida para empresas de medios, editores, museos, ciencia, salud e investigación en biotecnología, seguros, inteligencia comercial y de riesgo, servicios de marketing. ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.7/5** | 26 Opiniones | | Facilidad de uso | 4.6/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.5/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.6/5 | Basado en las opiniones generales | | Funcionalidades | 4.5/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: Ontotext - **Ubicación**: Sofia, Bulgaria - **Constitución**: 2008 ## Contexto comercial - **Modelo de precios**: (versión gratuita disponible) (Prueba gratis) - **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,000+ - **Despliegue y plataformas**: Cloud, SaaS, Web, Mac (desktop), Windows (desktop), Linux (desktop), Windows (local), Linux (local) - **Idiomas admitidos**: inglés - **Países disponibles**: Afganistán, Albania, Alemania, Andorra, Angola, Anguila, Antigua y Barbuda, Arabia Saudita, Argelia, Argentina, Armenia, Aruba, Australia, Austria, Azerbaiyán, Bahamas, Bangladés, Barbados, Baréin, Belice y 209 más ## Funcionalidades - Base de datos de gráficos - Búsqueda/filtro - Copia de seguridad y recuperación - Gestión de almacenamiento de datos - Importación y exportación de datos - Recuperación de datos - Replicado de datos - Sincronización de datos ## Integraciones (en total: 1) - MongoDB ## Opciones de asistencia - E-mail/Help Desk - Preguntas frecuentes/foro - Base de conocimientos - Asistencia telefónica - Chat ## Categoría - [Software de bases de datos](https://www.capterra.do/directory/18/database-management/software) ## Categorías relacionadas - [Software de bases de datos](https://www.capterra.do/directory/18/database-management/software) - [Software de bases de datos NoSQL](https://www.capterra.do/directory/32257/nosql-databases/software) ## Alternativas 1. [Microsoft SQL Server](https://www.capterra.do/software/1417/sql-server) — 4.6/5 (1974 reviews) 2. [MySQL](https://www.capterra.do/software/11482/mysql) — 4.6/5 (2094 reviews) 3. [MongoDB](https://www.capterra.do/software/127374/mongodb) — 4.7/5 (468 reviews) 4. [Airtable](https://www.capterra.do/software/146652/airtable) — 4.6/5 (2222 reviews) 5. [Oracle Database](https://www.capterra.do/software/5938/oracle-database) — 4.6/5 (471 reviews) ## Opiniones ### "The best RDF graph database in the market" — 5.0/5 > **Stratos** | *6 de diciembre de 2023* | Servicios de información | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: - 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. > > **Puntos en contra**: 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 de octubre de 2019* | Investigación | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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 de noviembre de 2019* | Investigación | Valoración de la recomendación: 6.0/10 > > **Puntos a favor**: - 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 > > **Puntos en contra**: - 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 de noviembre de 2019* | Administración gubernamental | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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 > **Usuario verificado** | *3 de octubre de 2019* | Investigación | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: Sparql support. Ease of setup. Webservice api. Functionality of free version. > > **Puntos en contra**: 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. ----- Página: 1 de 2\ Siguiente: [Página siguiente](https://www.capterra.do/software/157533/graph-db?page=2) ## Enlaces - [Ver en Capterra](https://www.capterra.do/software/157533/graph-db) ## Esta página se encuentra disponible en los siguientes idiomas | Local | 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 | | ----- ## Datos estructurados