--- description: ¿Qué piensan los usuarios de MongoDB? Lee las reseñas y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de MongoDB gracias a Capterra Argentina. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MongoDB - Opiniones, precios y características - Capterra Argentina 2026 --- Breadcrumb: [Inicio](/) > [Software de Big Data](/directory/30851/big-data/software) > [MongoDB](/software/127374/mongodb) # MongoDB Canonical: https://www.capterra.com.ar/software/127374/mongodb Página: 1 de 20\ Siguiente: [Página siguiente](https://www.capterra.com.ar/software/127374/mongodb?page=2) > Desde startups hasta empresas, para las modernas y las críticas para la misión, MongoDB es la base de datos para ideas gigantes. > > Veredicto: 472 usuarios lo han valorado con **4.7/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Vista rápida ### ¿Quién usa MongoDB? MongoDB sirve tanto a startups como a organizaciones líderes en la industria, desde empresas Fortune 500 hasta organismos gubernamentales. ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.7/5** | 472 Opiniones | | Facilidad de uso | 4.4/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.3/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.6/5 | Basado en las opiniones generales | | Funcionalidades | 4.6/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: MongoDB - **Constitución**: 2007 ## Contexto comercial - **Modelo de precios**: (versión gratuita disponible) - **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**: alemán, francés, inglés, italiano, portugués - **Países disponibles**: Alemania, Canadá, Estados Unidos, Francia, Italia, Portugal, Reino Unido ## Funcionalidades - API - Alertas y notificaciones - Almacenamiento de datos - Almacenamiento seguro de datos - Análisis visual - Base de datos de documentos - Búsqueda/filtro - Captura y transferencia de datos - Controles o permisos de acceso - Conversión de base de datos - Copia de seguridad y recuperación - Creación de informes/análisis - Descubrimiento de datos - Gestión de almacenamiento de datos - Gestión de auditorías - Gestión de implementación - Gestión de integraciones - Gestión de la conformidad - Gestión de la información - Interfaz gráfica de usuario - Migración de datos - Modelado visual - Panel de comunicaciones - Permite la programación de multiples idiomas - Procesamiento de grandes volúmenes - Recuperación de datos - Recuperación de desastres - Replicado de datos - Seguimiento del comportamiento - Seguridad de datos - Soporte de base de datos - Third-Party Integrations - Visualización de datos ## Integraciones (en total: 8) - IBM Cognos Analytics - MicroStrategy Analytics - Microsoft Excel - Microsoft Power BI - Qlik Sense - SAP BusinessObjects Business Intelligence - Spotfire - Tableau ## Opciones de asistencia - E-mail/Help Desk - Preguntas frecuentes/foro - Base de conocimientos - Asistencia telefónica - Asistencia 24/7 - Chat ## Categoría - [Software de Big Data](https://www.capterra.com.ar/directory/30851/big-data/software) ## Categorías relacionadas - [Software de Big Data](https://www.capterra.com.ar/directory/30851/big-data/software) - [Software de almacenamiento en la nube](https://www.capterra.com.ar/directory/31310/cloud-storage/software) - [Software de almacenamiento de datos](https://www.capterra.com.ar/directory/31116/data-warehouse/software) - [Software de bases de datos NoSQL](https://www.capterra.com.ar/directory/32257/nosql-databases/software) - [Sistemas de gestión de continuidad de negocio](https://www.capterra.com.ar/directory/30206/business-continuity/software) ## Alternativas 1. [Microsoft SQL Server](https://www.capterra.com.ar/software/1417/sql-server) — 4.6/5 (1981 reviews) 2. [MySQL](https://www.capterra.com.ar/software/11482/mysql) — 4.6/5 (2098 reviews) 3. [Google Cloud](https://www.capterra.com.ar/software/170983/google-cloud-platform) — 4.7/5 (2320 reviews) 4. [Airtable](https://www.capterra.com.ar/software/146652/airtable) — 4.6/5 (2242 reviews) 5. [Oracle Database](https://www.capterra.com.ar/software/5938/oracle-database) — 4.6/5 (473 reviews) ## Opiniones ### "MongoDB Review" — 5.0/5 > **Leandro** | *2 de diciembre de 2025* | Software informático | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: Amazing DB . Fast , performant , easy to develop , easy to maintain, easy to debug .I use it at work and for personal projects > > **Puntos en contra**: If you come from the SQL world it takes a time to get used to it , but once you learned Mongo you won't want to go back to SQL > > Great experience .I enjoy working on the back end with mongo databases . I use it professionally it has a lot of benefits ----- ### "Flexible and Easy to Start, but Requires Good Planning" — 4.0/5 > **Furkan** | *19 de agosto de 2026* | Diseño | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: What I like most is how flexible MongoDB is when the data structure changes during development. Working with document-based data feels natural, and I can add or adjust fields without constantly restructuring the database. The feature set is strong, and cloud integration through Atlas also makes deployment and management much easier. For smaller and growing projects, the combination of flexibility, ease of use, and available features provides good value. > > **Puntos en contra**: The flexibility can also become a drawback if the data model is not planned carefully. As collections and queries become more complex, indexing and performance optimization require more attention than they do at the beginning. Atlas is convenient, but pricing can also become harder to predict as usage grows. I have also found that solving more specific configuration or performance issues sometimes requires going deeper into the documentation. > > My overall experience with MongoDB has been positive. It is easy to get started with, especially when working with JSON-like application data, and the flexible structure makes development and iteration fast. Atlas also removes a lot of the work involved in managing a database in the cloud. As projects become larger, good schema design, indexing, and cost monitoring become more important, so there is still a learning curve beyond the basics. Overall, it has been reliable and productive for the type of projects I have used it for. ----- ### "Reliable NoSQL Database for High-Volume Production Workloads" — 4.0/5 > **Usuario verificado** | *22 de abril de 2026* | Tecnología y servicios de la información | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: MongoDB is very flexible and easy to scale for large production workloads. I liked its schema flexibility, replication features, and strong performance for high read/write operations. The aggregation framework also very useful. > > **Puntos en contra**: Memory usage may become high during large aggregations or heavy workloads. Managing sharding is not easy as standalone or replicatica sets. > > My experience with MongoDB has been positive in production support and database administration environments. I worked with replica sets, monitoring, slow query analysis, backups, and troubleshooting database performance issues. ----- ### "DB for modern applications" — 4.0/5 > **Edwin** | *29 de julio de 2026* | Servicios financieros | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: What I like most about MongoDB is the flexibility it provides when working with modern applications, especially when dealing with changing data structures. The document-based model makes it easier to store and manage complex data without constantly redesigning database tables. The AI-related capabilities and integrations are also interesting, especially with features like vector search that can support AI applications such as semantic search, recommendation systems, and retrieval-augmented generation (RAG) solutions. The cloud platform, MongoDB Atlas, makes deployment and scaling much easier because many infrastructure tasks are handled automatically. The statistical analysis and monitoring tools help developers understand database performance, query patterns, and application behavior. I also appreciate the strong developer community, documentation, and available integrations with many programming languages and cloud providers. Overall, MongoDB helps teams build applications faster while keeping the development process flexible. > > **Puntos en contra**: One of the biggest challenges with MongoDB is that it requires developers to understand when a document database is the right choice. For teams coming from traditional SQL databases, the different data modeling approach can take some time to learn. Costs can also become a concern when using MongoDB Atlas at larger scales, especially when applications require more storage, high availability, or advanced features. Some advanced features, such as AI-related search capabilities and analytics tools, may require additional planning and configuration. I have also experienced situations where debugging complex queries or optimizing performance required more database knowledge than expected. While MongoDB provides many tools for monitoring and statistical analysis, understanding all the metrics and making the right optimization decisions can still be challenging for newer users. > > My overall experience with MongoDB has been positive, especially for projects that require fast development and flexible data structures. MongoDB works very well for applications where data changes frequently or where storing nested information naturally fits the application design. MongoDB Atlas provides a smooth cloud experience with automated backups, scaling options, security features, and integrations with popular cloud environments. I also like how MongoDB continues to add modern features, including AI-focused capabilities like vector search, which can help developers build smarter applications using machine learning models and AI assistants. Customer support and documentation are generally helpful when troubleshooting issues. The main learning curve is understanding proper data modeling and knowing when to optimize queries. Overall, MongoDB is a powerful platform that balances developer productivity, scalability, and modern application requirements. ----- ### "Cheap Mongo DB" — 3.0/5 > **Trevor** | *28 de noviembre de 2020* | Petróleo y energía | Valoración de la recomendación: 6.0/10 > > **Puntos a favor**: Can use a free version of it. And does allow clustering of it inclusive. > > **Puntos en contra**: Compass client tool is useless versus other DB software tools. Pretty much all cli based access ot the collections within > > Built several multi-node clusters for data warehousing for ETL tools. Had a lot of issues early on to get it working. Documentation 2 years ago + was spotty but now its a lot better. Not to mention the software has evolved to include features sorely missing awhile back. We moved away from thsi product as it doesnt allow backups as robust as MSSQL and oracle but its great for certain types of data needs. ----- Página: 1 de 20\ Siguiente: [Página siguiente](https://www.capterra.com.ar/software/127374/mongodb?page=2) ## Enlaces - [Ver en Capterra](https://www.capterra.com.ar/software/127374/mongodb) ## 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 | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Datos estructurados