Data
MongoDB Development
A document store, for data that genuinely is not relational.
MongoDB stores documents rather than rows, which suits data that is naturally nested and varies between records — event payloads, catalogue items with wildly different attributes, content with optional structure.
It is frequently chosen for the wrong reason: not because the data is document-shaped, but because schema design felt like a delay. That decision is invisible for a year and painful afterwards, when reporting requires joins the store was never built to do.
Why we use it
We use MongoDB where the shape genuinely varies — logging, flexible catalogues, event payloads whose fields differ by source.
For business data with real relationships, we use a relational database and say so plainly. Invoices, customers, bookings and stock have referential integrity requirements, and a document store cannot enforce them for you. Choosing correctly at the start is far cheaper than migrating later.
Planning a MongoDB project?
We will tell you honestly whether it is the right choice for what you are building.