Backend

Backend & API Development

Typical engagement: $8k–$40k · 4–10 weeks

What this is

Ubikon builds fast, documented, tested APIs on FastAPI, PostgreSQL and MongoDB that mobile and web teams can build against on day one — typed request/response models, real test coverage, and API documentation that's actually current. A typical engagement runs $8k–$40k across 4–10 weeks.

What you get

Concrete deliverables, not a vague promise.

  • A typed API with request/response validation on every endpoint (Pydantic or Zod)
  • Automatically generated, always-current API documentation
  • Test coverage on business logic — not just a smoke test that the server starts
  • CI/CD, monitoring, and rate limiting on every public-facing route
  • Full IP transfer and private repository handover

How we build it

Stack and architecture for a typical build.

FastAPI and Python for the API layer, PostgreSQL for relational data or MongoDB when the shape genuinely calls for a document model, and Docker for consistent environments from local dev through production.

Architecture diagram: Client apps → FastAPI → PostgreSQL / MongoDBRESTClient appsweb + mobileFastAPItyped, testedPostgreSQL / MongoDB
Named case studies for this service are pending client permissions (see our comparison page for the honest version of this section right now). We won't publish invented ones.

Pricing

Where the number comes from.

The $8k–$40k range above is priced from real delivery data across 300+ completed projects — not a day rate multiplied by a guess. A full itemized breakdown by phase is available on a scoping call, or get a rough one now from the calculator below.

Open the cost calculator

The honest comparison

PostgreSQL vs MongoDB for a typical product backend

Both are correct choices in the right context — here is how we decide.

 PostgreSQL (Ubikon default)MongoDB
Relational data, complex queriesStrong fitWorkable, often awkward at scale
Rapidly-changing, document-shaped dataWorkable via JSONBNative fit
Transactional integrityStrong, ACID by defaultSupported, less central to the model
Best fitMost product backends — billing, users, relational business dataContent stores, logs, flexible-schema data

Process

4–10 weeks, start to launch.

  1. Scope the data model

    What the API actually needs to represent, before any endpoint is written.

  2. Fixed quote, 48 hours

    Priced by endpoint count and complexity of the business logic behind them.

  3. Weekly builds

    A staging API with live docs you can hit yourself every week.

  4. Launch with monitoring

    Rate limiting and uptime alerting live from day one.

Straight answers

What buyers ask about this service

How much does a custom API cost? +

Most backends run $8,000–$40,000, priced by endpoint count and the complexity of the business logic and integrations behind them, not a flat day rate.

PostgreSQL or MongoDB — which do you recommend? +

PostgreSQL by default for most product backends, since relational integrity and complex queries usually matter more than people expect once a product has real users. MongoDB when the data is genuinely document-shaped and rapidly changing, like content or logs.

Do you provide API documentation? +

Yes, generated from the typed schema so it stays current automatically rather than drifting out of sync with the code, which is the usual failure mode of hand-written API docs.

One call. One fixed number.

Tell us about your backend & api development project.

30 minutes, no deck. A fixed quote follows within 48 hours.