--- description: Detaillierte Informationen über MongoDB zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MongoDB Erfahrungen, Vor- und Nachteile – Capterra Deutschland 2026 --- Breadcrumb: [Startseite](/) > [Big Data Tools](/directory/30851/big-data/software) > [MongoDB](/software/127374/mongodb) # MongoDB Canonical: https://www.capterra.com.de/software/127374/mongodb Seite: 1 / 20\ Weiter: [Nächste Seite](https://www.capterra.com.de/software/127374/mongodb?page=2) > Von Startups bis hin zu Unternehmen, MongoDB ist die Datenbank der Riesen-Ideen für moderne und konventionelle Betriebe > > Bewertung: **4.7/5** von 472 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet MongoDB? MongoDB dient sowohl Startups als auch branchenführenden Unternehmen, von Fortune 500 bis hin zu öffentlichen Behörden. ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.7/5** | 472 Nutzerbewertungen | | Bedienkomfort | 4.4/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.3/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.6/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.6/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: MongoDB - **Gegründet**: 2007 ## Gewerblicher Kontext - **Preismodell**: (Kostenlose Version verfügbar) - **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Mac (Desktop), Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise) - **Unterstützte Sprachen**: Deutsch, Englisch, Französisch, Italienisch, Portugiesisch - **Verfügbare Länder**: Deutschland, Frankreich, Italien, Kanada, Portugal, Vereinigte Staaten, Vereinigtes Königreich ## Funktionen - API - Alarmfunktion / Benachrichtigungen - Backup und Recovery - Berichterstattung / Analyse - Compliance Management - Dashboard - Data Warehousing (Datenlager) - Daten-Identifizierung - Datenabruf - Datenbank-Umwandlung - Datenbank-Unterstützung - Datenerfassung und Übertragung - Datenmigration - Datenreplikation - Datensicherheit - Datenspeicher-Management - Datenvisualisierung - Disaster Recovery - Dokumentendatenbank - Einsatz-Management - Grafische Benutzeroberfläche - Information Governance - Integrationsmanagement - Leistungsüberwachung - Sichere Datenspeicherung - Suchen / filtern - Third-Party Integrations - Unterstützt zahlreiche Programmiersprachen - Verarbeitung von hohen Volumen - Visuelle Analytik - Visuelle Modellierung - Wirtschaftsprüfung-Management - Zugriffskontrollen / Berechtigungen ## Integrationen (8 insgesamt) - IBM Cognos Analytics - MicroStrategy Analytics - Microsoft Excel - Microsoft Power BI - Qlik Sense - SAP BusinessObjects Business Intelligence - Spotfire - Tableau ## Optionen für Kundensupport - E-Mail/Helpdesk - FAQ/Forum - Wissensdatenbank - Telefon-Support - 24/7 Live-Support - Chat ## Category - [Big Data Tools](https://www.capterra.com.de/directory/30851/big-data/software) ## Ähnliche Kategorien - [Big Data Tools](https://www.capterra.com.de/directory/30851/big-data/software) - [Cloud-Speicher](https://www.capterra.com.de/directory/31310/cloud-storage/software) - [Data-Warehouse-Systeme](https://www.capterra.com.de/directory/31116/data-warehouse/software) - [NoSQL-Databases-Software](https://www.capterra.com.de/directory/32257/nosql-databases/software) - [BCM Software (Business Continuity Management)](https://www.capterra.com.de/directory/30206/business-continuity/software) ## Alternativen 1. [Airtable](https://www.capterra.com.de/software/146652/airtable) — 4.6/5 (2242 reviews) 2. [Microsoft SQL Server](https://www.capterra.com.de/software/1417/sql-server) — 4.6/5 (1981 reviews) 3. [MySQL](https://www.capterra.com.de/software/11482/mysql) — 4.6/5 (2098 reviews) 4. [Google Cloud](https://www.capterra.com.de/software/170983/google-cloud-platform) — 4.7/5 (2320 reviews) 5. [Oracle Database](https://www.capterra.com.de/software/5938/oracle-database) — 4.6/5 (473 reviews) ## Nutzerbewertungen ### "Flexible and Easy to Start, but Requires Good Planning" — 4.0/5 > **Furkan** | *19. August 2026* | Design | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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 > **Verifizierter Rezensent** | *22. April 2026* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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. Juli 2026* | Finanzdienstleistungen | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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. November 2020* | Öl & Energie | Empfehlungsbewertung: 6.0/10 > > **Vorteile**: Can use a free version of it. And does allow clustering of it inclusive. > > **Nachteile**: 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. Januar 2026* | Gastgewerbe | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: 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. > > **Nachteile**: 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. ----- Seite: 1 / 20\ Weiter: [Nächste Seite](https://www.capterra.com.de/software/127374/mongodb?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.com.de/software/127374/mongodb) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | 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 | | ----- ## Strukturierte Daten