Technologies
Technology
MongoDB
Document storage for genuinely dynamic data.
We use MongoDB for projects with genuinely variable or deeply nested document structures where a relational schema would be a poor fit.
Used when
Document model fits
Atlas
Managed option
Not the default
Postgres usually wins
Our Take
Why we use MongoDB
MongoDB is the right tool when your data is genuinely document-shaped: CMS content, product catalogs with highly variable attributes, event logs, or configuration storage. For most transactional applications, we default to PostgreSQL. MongoDB is a deliberate choice, not the default.
What We Build With It
CMS and content platforms
Product catalogs with variable attributes
Event logging and analytics
Configuration management
IoT data ingestion
Honest Assessment
When MongoDB is the right choice. And when it is not.
Strengths
Flexible schema for variable data
Horizontal sharding is native
Atlas managed cloud is excellent
Aggregation pipeline is powerful
Document model fits some domains naturally
Limitations
No joins: data modeling requires thought
ACID transactions are possible but not the default
Not our default choice: Postgres usually wins
Can encourage poor data modeling practices
Ready to build with MongoDB?
Get a free architecture consultation. We will tell you if MongoDB is the right fit for your project.
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