---
description: MongoDB : qu'en pensent les utilisateurs ? Lisez les avis clients sur MongoDB, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités.
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title: MongoDB - Avis, notes, prix et abonnements - Capterra France 2026
---

Breadcrumb: [Accueil](/) > [Outils Big Data](/directory/30851/big-data/software) > [MongoDB](/software/127374/mongodb)

# MongoDB

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> Des start-up aux grandes entreprises, pour les systèmes modernes et critiques, MongoDB est la base de données des idées géantes.
> 
> Conclusion : 472 utilisateurs lui ont donné la note de **4.7/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

-----

## Présentation

### Qui utilise MongoDB ?

MongoDB est destinée à la fois aux start-up et aux entreprises leaders du secteur, aux sociétés du Fortune 500 et aux agences gouvernementales.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.7/5** | 472 Avis |
| Simplicité d’utilisation | 4.4/5 | D'après l'ensemble des avis |
| Support client | 4.3/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 4.6/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.6/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) |

## À propos de l'éditeur

- **Société**: MongoDB
- **Entreprise fondée en**: 2007

## Contexte commercial

- **Type de licence**:  (Version gratuite disponible)
- **Public cible**: Auto-entrepreneur, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+
- **Déploiement et plateformes**: Cloud, SaaS, web, Mac (ordinateur), Windows (ordinateur), Linux (ordinateur), Windows (sur site), Linux (sur site)
- **Langues**: allemand, anglais, français, italien, portugais
- **Pays disponibles**: Allemagne, Canada, France, Italie, Portugal, Royaume-Uni, États-Unis

##  Fonctionnalités

- API
- Alertes/Notifications
- Analyse visuelle
- Base de données de documents
- Compatible avec divers languages de programmation
- Contrôles/Permissions d'accès
- Conversion de bases de données
- Data discovery
- Entreposage de données
- Gestion de la conformité
- Gestion des audits
- Gestion des intégrations
- Gestion du déploiement
- Gestion du stockage de données
- Gouvernance de l'information
- Interface graphique
- Migration de données
- Modélisation visuelle
- Prise en charge des bases de données
- Rapports et analyses
- Recherche/Filtre
- Reprise d'activité
- Récupération de données
- Réplication de données
- Saisie et transfert de données
- Sauvegarde et récupération
- Stockage sécurisé des données
- Suivi des performances
- Sécurité des données
- Tableau de bord
- Third-Party Integrations
- Traitement des gros volumes
- Visualisation de données

## Intégrations (8 au total)

- IBM Cognos Analytics
- MicroStrategy Analytics
- Microsoft Excel
- Microsoft Power BI
- Qlik Sense
- SAP BusinessObjects Business Intelligence
- Spotfire
- Tableau

## Ressources d'aide

- Service client/e-mail
- FAQ/forums
- Base de connaissances
- Support téléphonique
- Support 24/7 (réponse directe)
- Chat

## Category

- [Outils Big Data](https://www.capterra.fr/directory/30851/big-data/software)

## Catégories connexes

- [Outils Big Data](https://www.capterra.fr/directory/30851/big-data/software)
- [Logiciels de stockage en ligne](https://www.capterra.fr/directory/31310/cloud-storage/software)
- [Logiciels de data warehouse](https://www.capterra.fr/directory/31116/data-warehouse/software)
- [Logiciels de base de données NoSQL](https://www.capterra.fr/directory/32257/nosql-databases/software)
- [Logiciels de Plan de Continuité d'Activité (PCA)](https://www.capterra.fr/directory/30206/business-continuity/software)

##  Logiciels similaires

1. [Airtable](https://www.capterra.fr/software/146652/airtable) — 4.6/5 (2242 reviews)
2. [Microsoft SQL Server](https://www.capterra.fr/software/1417/sql-server) — 4.6/5 (1981 reviews)
3. [MySQL](https://www.capterra.fr/software/11482/mysql) — 4.6/5 (2098 reviews)
4. [Google Cloud](https://www.capterra.fr/software/170983/google-cloud-platform) — 4.7/5 (2320 reviews)
5. [Oracle Database](https://www.capterra.fr/software/5938/oracle-database) — 4.6/5 (473 reviews)

## Avis

### "Flexible and Easy to Start, but Requires Good Planning" — 4.0/5

> **Furkan** | *19 août 2026* | Design | Taux de recommandation : 8.0/10
> 
> **Avantages**: 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.
> 
> **Inconvénients**: 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.

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### "Reliable NoSQL Database for High-Volume Production Workloads" — 4.0/5

> **Utilisateur vérifié** | *22 avril 2026* | Services et technologies de l'information | Taux de recommandation : 9.0/10
> 
> **Avantages**: 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.
> 
> **Inconvénients**: 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 juillet 2026* | Services financiers | Taux de recommandation : 8.0/10
> 
> **Avantages**: 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.
> 
> **Inconvénients**: 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.

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### "Pas cher Mongo DB" — 3.0/5

> **Trevor** | *28 novembre 2020* | Pétrole et énergies | Taux de recommandation : 6.0/10
> 
> **Avantages**: Peut utiliser une version gratuite de celui-ci. Et permet le regroupement de celui-ci inclus.
> 
> **Inconvénients**: L'outil client Compass est inutile par rapport aux autres outils logiciels de base de données. Presque tous les accès basés sur cli aux collections dans
> 
> Construit plusieurs clusters multi-nœuds pour l'entreposage de données pour les outils ETL. J'ai eu beaucoup de problèmes au début pour le faire fonctionner. La documentation d'il y a 2 ans + était inégale mais maintenant c'est beaucoup mieux. Sans oublier que le logiciel a évolué pour inclure des fonctionnalités qui manquaient cruellement il y a quelque temps. Nous nous sommes éloignés de ce produit car il ne permet pas des sauvegardes aussi robustes que MSSQL et Oracle, mais il est idéal pour certains types de besoins en données.

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### "Flexible and production ready when used right" — 5.0/5

> **Junaid** | *22 janvier 2026* | Hôtellerie | Taux de recommandation : 9.0/10
> 
> **Avantages**: 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.
> 
> **Inconvénients**: 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.

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## Liens

- [Afficher sur Capterra](https://www.capterra.fr/software/127374/mongodb)

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