MongoDB, for data that doesn't fit neat rows.
MongoDB is our pick when a data model is still evolving, or when the shape of the data is naturally nested rather than relational. Document-oriented, schema-flexible, and a natural fit alongside a JavaScript-heavy stack.
Where MongoDB earns its place in the stack.
Content & catalogue data
Product catalogues, CMS content, anything where different records naturally have different shapes — MongoDB doesn't force them into the same columns.
Schemas that are still evolving
Early-stage products where the data model is genuinely still being figured out benefit from not having to migrate a rigid schema every sprint.
Real-time apps paired with Node.js
JSON in, JSON stored, JSON out — MongoDB pairs naturally with a JavaScript stack, with less translation at every boundary.
Horizontal scale for high-write workloads
Built from the ground up to shard across machines, for workloads where the write volume alone rules out a single relational instance.
Built for data that's still finding its shape.
MongoDB earns its place when a rigid schema would fight against the product rather than help it — early-stage tools, content-heavy products, and data that's naturally nested rather than tabular.
It's not our default the way PostgreSQL is. We reach for it specifically, when the flexibility genuinely pays for itself rather than just being convenient at the start and painful once the product settles down.
Flexible schema, for products still forming
Fields can change without a migration — genuinely useful in the first few months of a product, when the data model is still being discovered, not designed.
A natural fit with JSON stacks
Documents look like the JSON a JavaScript frontend already speaks, so there's less translation between what the app sends and what the database stores.
Built for horizontal scale
Sharding is native, not bolted on — a genuine advantage once a workload's write volume outgrows what a single relational instance can handle.
Good for genuinely nested data
Some data is naturally hierarchical — nested documents avoid the join gymnastics a relational schema would need to represent the same thing.
Not sure MongoDB's the right fit? Ask the engineer who'd build it.
Book a 30-minute working session with a senior engineer — a real conversation about your data, not a sales call.
What a MongoDB build usually includes.
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Read moreThe stack we ship on.
Pragmatic, mostly boring, and chosen because it works in production — not because it's on the front page of Hacker News.
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