MongoDB engineering

MongoDB Development & Consulting Services

MongoDB schema design, indexing strategy, performance tuning and Atlas operations — plus the honest call on when Postgres beats Mongo for your workload.

What we build with MongoDB

Schema design and data modelling

Document modelling, denormalisation strategy, indexing, aggregation pipelines — designed for the read and write patterns your application actually has.

Performance tuning and indexing

Query analysis, index strategy, sharding decisions, profiling, and Atlas operations — diagnosed from real production traces.

MongoDB → PostgreSQL migration (when it's right)

We move teams off Mongo to Postgres when the workload genuinely calls for it — relational rigour, joins, transactions across collections. We don't push the migration when Mongo is the right fit.

When to choose MongoDB

When document-shape data fits the domain

Workloads with naturally document-shaped data, high write throughput and specific aggregation patterns — Mongo's strengths.

When you're already on it

We don't recommend migrating off Mongo for fashion reasons. If your team operates it well and the workload fits, stay.

Use-cases where MongoDB fits

Services using MongoDB

Industries we serve with MongoDB

Need senior MongoDB engineers?

Tell us what you're building. We'll scope it, share a fixed-cost quote and a delivery plan within 48 hours — staffed with engineers who ship MongoDB in production daily, not bootcamp graduates.

Get a proposal