
MongoDB
Document database for flexible, scalable data storage.
MongoDB is the most popular NoSQL database, designed for storing and querying document-oriented data in flexible JSON-like (BSON) format. Unlike relational databases with rigid schemas, MongoDB allows each document in a collection to have a different structure, making it ideal for evolving data models.
We use MongoDB for projects with rapidly evolving data schemas, document-heavy content (articles, product catalogs), or when the data structure maps naturally to JSON documents rather than relational tables. MongoDB Atlas's managed service reduces operational overhead, and its flexible schema is ideal for prototyping and MVPs where the data model is still being defined.
What we use it for
- Content management with flexible schemas
- Product catalogs with varied attributes
- Real-time analytics and logging
- IoT data storage and time-series
- User profile and session storage
- Mobile app backends with Realm
What it gives us
- Flexible SchemaNo rigid table structure. Documents in the same collection can have different fields and shapes.
- Aggregation PipelinePowerful data processing framework for filtering, grouping, transforming, and analyzing data.
- Atlas CloudFully managed cloud database with auto-scaling, backups, monitoring, and multi-region replication.
- Horizontal ScalingDistribute data across multiple servers with automatic sharding for virtually unlimited scalability.
Questions we get asked
MongoDB vs PostgreSQL, which should I use?
Is MongoDB good for web applications?
How much does MongoDB Atlas cost?
Can MongoDB handle transactions?
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