MongoDB
A flexible document database we use when a project's data doesn't map cleanly to rigid relational tables.
Discuss your projectMongoDB's document model lets schemas evolve naturally as a product grows, which is useful for content-heavy or rapidly changing data shapes — user-generated content, catalogs with variable attributes, or event logs.
We use it selectively, where the flexibility is a genuine advantage, rather than as a default — most of our projects still lean on relational databases for stronger consistency guarantees.
How we use MongoDB
Flexible content models
Data with varying shapes per record, like product catalogs with attribute sets that differ by category.
Event & activity logs
High-write-volume logs where schema rigidity isn't needed.
Rapid schema iteration
Early-stage products whose data model is still actively changing.
More database technologies
MySQL
A reliable, widely supported relational database that powers most of our production backends, including this site.
PostgreSQL
An advanced open-source relational database with strong support for complex queries, JSON, and geospatial data.
Redis
An in-memory data store we use for caching, session storage, and rate limiting to keep applications fast under load.
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