--- description: Tudo sobre MongoDB: preço, alternativas, vantagens e desvantagens, funcionalidades e avaliações de outros usuários graças à Capterra Portugal. Saiba mais! image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MongoDB - Preço, avaliações e classificação - Capterra Portugal 2026 --- Breadcrumb: [Home](/) > [Ferramentas de Big Data](/directory/30851/big-data/software) > [MongoDB](/software/127374/mongodb) # MongoDB Canonical: https://www.capterra.pt/software/127374/mongodb Page: 1 / 20\ Seguinte: [Next page](https://www.capterra.pt/software/127374/mongodb?page=2) > De startups a empresas, para os modernos e vitais, o MongoDB é o banco de dados para ideias gigantes. > > Verdict: Rated **4.7/5** by 472 users. Top-rated for **Probabilidade de recomendação**. ----- ## Resumo ### Quem usa MongoDB? O MongoDB atende a startups e organizações líderes do setor, de empresas da Fortune 500 a órgãos governamentais. ## Quick Stats & Ratings | Metric | Classificação | Detail | | **Geral** | **4.7/5** | 472 Avaliações | | Praticidade | 4.4/5 | Based on overall reviews | | Suporte ao cliente | 4.3/5 | Based on overall reviews | | Relação qualidade/preço | 4.6/5 | Based on overall reviews | | Recursos | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Probabilidade de recomendação) | ## Sobre o fornecedor - **Empresa**: MongoDB - **Founded**: 2007 ## Commercial Context - **Modelo de preços**: (Free version available) - **Target Audience**: Profissional autônomo, 2 - 10, 11 - 50, 51 - 200, 201 - 500, 501 - 1 000, 1 001 - 5 000, 5 001 - 10 000, 10 000+ - **Deployment & Platforms**: Nuvem, SaaS, baseado na web, Mac (desktop), Windows (desktop), Linux (desktop), Windows (local), Linux (local) - **Idiomas**: alemão, francês, inglês, italiano, português - **Available Countries**: Alemanha, Canadá, Estados Unidos, França, Itália, Portugal, Reino Unido ## Recursos - API - Alertas/notificações - Análise de dados visual - Armazenamento de dados seguros - Armazéns de dados - Backup e recuperação - Banco de dados de documentos - Captura e transferência de dados - Compatível com diversas linguagens de programação - Controles/permissões de acesso - Conversão do banco de dados - Descoberta de dados - Gerenciamento da implantação - Gerenciamento de armazenamento de dados - Gestão de auditorias - Gestão de conformidade - Gestão de integrações - Governança de informações - Interface gráfica do usuário - Migração de dados - Modelagem visual - Monitoramento do desempenho - Painel - Pesquisa e filtro - Processamento de grandes volumes - Recuperação de dados - Recuperação de desastres - Relatórios e análise de dados - Replicação de dados - Segurança de dados - Suporte de banco de dados - Third-Party Integrations - Visualização de dados ## Integrations (8 total) - IBM Cognos Analytics - MicroStrategy Analytics - Microsoft Excel - Microsoft Power BI - Qlik Sense - SAP BusinessObjects Business Intelligence - Spotfire - Tableau ## Opções de suporte - Email/Help Desk - FAQs/Fórum - Base de conhecimento - Suporte por telefone - Assistência 24/7 - Bate-papo ## Category - [Ferramentas de Big Data](https://www.capterra.pt/directory/30851/big-data/software) ## Categorias relacionadas - [Ferramentas de Big Data](https://www.capterra.pt/directory/30851/big-data/software) - [Programas de Armazenamento na Nuvem](https://www.capterra.pt/directory/31310/cloud-storage/software) - [Ferramentas de Data Warehouse](https://www.capterra.pt/directory/31116/data-warehouse/software) - [Software de Base de Dados NoSQL](https://www.capterra.pt/directory/32257/nosql-databases/software) - [Software de Continuidade de Negócio](https://www.capterra.pt/directory/30206/business-continuity/software) ## Alternativas 1. [Microsoft SQL Server](https://www.capterra.pt/software/1417/sql-server) — 4.6/5 (1981 reviews) 2. [MySQL](https://www.capterra.pt/software/11482/mysql) — 4.6/5 (2098 reviews) 3. [Google Cloud](https://www.capterra.pt/software/170983/google-cloud-platform) — 4.7/5 (2320 reviews) 4. [Airtable](https://www.capterra.pt/software/146652/airtable) — 4.6/5 (2242 reviews) 5. [Oracle Database](https://www.capterra.pt/software/5938/oracle-database) — 4.6/5 (473 reviews) ## Avaliações ### "Flexible and Easy to Start, but Requires Good Planning" — 4.0/5 > **Furkan** | *19 de agosto de 2026* | Design | Recommendation rating: 8.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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 > **Avaliador Verificado** | *22 de abril de 2026* | Serviços e tecnologia da informação | Recommendation rating: 9.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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 julho de 2026* | Serviços financeiros | Recommendation rating: 8.0/10 > > **Vantagens**: 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. > > **Desvantagens**: 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 novembro de 2020* | Petróleo e energia | Recommendation rating: 6.0/10 > > **Vantagens**: Can use a free version of it. And does allow clustering of it inclusive. > > **Desvantagens**: 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. ----- ### "Flexible and production ready when used right" — 5.0/5 > **Junaid** | *22 de janeiro de 2026* | Hotelaria | Recommendation rating: 9.0/10 > > **Vantagens**: MongoDB is extremely flexible and fast to get started with. It scales well, integrate cleanly with modern clould platforms. I have been using it for years without hassle. Customer support and documentation are solid and community resources are easy to find when issues come up. > > **Desvantagens**: Flexibility can easily turn into mess if the data model is not designed carefully from the start. Costs on MongoDB can also grow faster than expected as data and traffic scale. > > Overall MongoDB is powerfull database that works best when used intentionally. It is excelled for rapid development and scalable applications. Could integration is works great however poor schema decisions can cause you problems. ----- Page: 1 / 20\ Seguinte: [Next page](https://www.capterra.pt/software/127374/mongodb?page=2) ## Links - [View on Capterra](https://www.capterra.pt/software/127374/mongodb) ## This page is available in the following languages | Locale | 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 | | ----- ## Structured Data