MongoDB

MongoDB


¿Quién utiliza este software?

MongoDB sirve tanto a startups como a organizaciones líderes en la industria, desde empresas Fortune 500 hasta organismos gubernamentales.


Valoración media

107 reseñas
  • 4.5 / 5
    En general
  • 4.5 / 5
    Facilidad de uso
  • 4 / 5
    Atención al cliente
  • 4.5 / 5
    Características
  • 4.5 / 5
    Relación calidad-precio

Detalles del producto

  • Versión gratuita
  • Prueba gratis
  • Implementación
    Instalado: Mac
    En la nube, SaaS, web
    Instalado: Windows
  • Formación
    En persona
    En directo en línea
    Seminarios web
    Documentación
  • Asistencia
    En horario ininterrumpido (atiende un representante)
    En línea

Datos del proveedor

  • MongoDB
  • http://www.mongodb.com/

Información sobre este software

Al ofrecer la mejor de las bases de datos tradicionales, así como la flexibilidad, la escala y el rendimiento que las aplicaciones actuales requieren, se permite a los innovadores implementar aplicaciones tan grandes como puedan soñar. Desde startups hasta empresas, para las modernas y las críticas para la misión, MongoDB es la base de datos para ideas gigantes. Para obtener más información, visita www.mongodb.com.


Funciones de MongoDB

  • Almacenamiento de datos
  • Análisis predictivo
  • Colaboración
  • Espacio aislado sin código
  • Exploración de datos (data mining)
  • Fusión de datos
  • Limpieza de datos
  • Modelos
  • Procesamiento de grandes volúmenes
  • Visualización de datos
  • Acceso móvil
  • Análisis de rendimiento
  • Consultas
  • Conversión de base de datos
  • Copia de seguridad y recuperación
  • Migración de datos
  • NOSQL
  • Relacional
  • Replicado de datos
  • Seguridad de datos
  • Virtualización

Las reseñas más útiles sobre MongoDB

Powerful data base that allows high performance, continuous growth and high availability in storage

  Traducir con Google
4/5
En general
5 / 5
Facilidad de uso
4 / 5
Características y funcionalidad
3 / 5
Asistencia al cliente
5 / 5
Relación calidad-precio

Comentarios: When working with this database, the expansion became easier and much more economical than the relational data base due to the horizontal scaling, distributing the load across all the nodes, which allowed the organization to store many more data and perform queries. manufacturing very quickly

Puntos a favor: Queries can be made quickly because the data is connected and interlaced thanks to the ID that is given to each document, the search is simpler; in addition, it has the facility to balance the loads which allows a better storage of files, it does not have to pay for the license, it contains a high security with advanced user management, the semi-structured or structured databases can be easily adapted, you can program the tasks, you have tools for the analysis of the data, using this data base the neck of bottles generated in the relational databases is completely eliminated

Puntos en contra: When running mongoldb uses all the free RAM which works as the cache, when the amount of data exceeds 100GB it usually has performance problems, when making a copy the verification and the durability is committed, when making a writing on the base of data the same is blocked which drastically reduces the concurrence

Within the NoSQL databases, probably one of the best

  Traducir con Google
4/5
En general
4 / 5
Facilidad de uso
5 / 5
Características y funcionalidad
3 / 5
Asistencia al cliente
5 / 5
Relación calidad-precio

Comentarios: Count on NoSQL database technology, with a free but very useful technology, perfect for handling large amounts of data, making better use of the hardware resources of the applications that require it.

Puntos a favor: This type of non-relational database is a very useful tool today, where the amount of data handled in the web services are very abundant and a better way to store and take advantage of resources is needed, we use mongoDb, with its noSQL proposal takes better advantage of resources, since no paid licenses are needed, this money is used for hardware power, the expansion is easier since the database should not be restructured, it will keep the files linearly, that the escalation is horizontal and the load is distributed across all the nodes, taking better advantage of the hardware performance making any application more scalable.

Puntos en contra: It has its weaknesses, but you must know when to use this technology and when to use relational database, there are no transactions so if you need to use it, you should simulate them in a certain way, if it is very required in your application it is better to use sql, either Joins is available, so you should make several queries to interact between the data, you must be careful with this and know what technology is better with the application that will be developed.