The multi-cloud database service at the heart of our developer data platform that accelerates and simplifies how you build with data. Try MongoDB Atlas today!
The community submitted 46 reviews to tell
us what they like about MongoDB, what MongoDB can do better, and
more.
5.0
Based on 46 reviews
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Reviewers see MongoDB as a strong fit for document-heavy, fast-changing data, especially in dashboards, real-time apps, and rapid prototyping. They like its flexible document model, which handles nested or uneven data without constant schema rewrites, and they also praise its performance and scalability. The main caution is that this flexibility can become a weakness as projects grow: larger collections, more complex relationships, and evolving schemas demand more discipline around modeling, consistency, indexing, and long-term maintainability.
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Tines The single, secure environment for agents, apps, and automations.
MongoDB’s native vector search makes it easy to keep structured data and embeddings together. It’s seamless to use within existing MongoDB clusters and scales well for production RAG setups.
I've been using Mongo for my online applications and games for a long time. I recommend it to everyone because it offers simple integration, intuitive dashboards, and optimal pricing.
MongoDB gave RentZoro the flexibility to move fast—storing complex tenant data, documents, and user interactions in a scalable, developer-friendly way.
MongoDB provides the document data model maps to how you think and code. Break out of rigid, tabular data structures with flexible documents that map directly to objects in your code. Embed related data into a single document to increase performance and minimize computational cost.
Big thanks to MongoDB for handling our data like a pro! Your reliable and secure database solutions enable us to protect creative rights with confidence and precision
MongoDB Atlas provides a fully managed, scalable database service with built-in automation, making it easier to use and maintain compared to other databases.
I tried extremely hard to use SQL databases and supabase... I simply could not get them to work well and did not have the time to learn what optimization mistakes I was making.. NoSQL was the way for me.