Softment

Backend & Cloud

GraphQL API Development Services

We build GraphQL APIs that are flexible for product teams and safe for production: schema-first design, permission-aware resolvers, and performance patterns that prevent N+1 pain.

TimelineTypical: 3–8 weeks (scope-dependent)
Starting atCA$1.2k

Overview

What this service is

This service delivers a GraphQL API with a clean schema that mirrors your business model, plus resolvers that are designed for performance and predictable behaviour.

We implement auth and permission checks at the right layers, so field-level access rules remain consistent as the schema grows.

You receive typed contracts, documentation, and implementation notes so clients can query safely and the API can evolve without regressions.

Benefits

What you get

Flexible data access for fast product iteration

Clients request only what they need, supporting multiple UI surfaces with less endpoint churn.

Better developer experience

Schema-first approach improves discoverability and reduces integration misunderstandings.

Performance patterns built in

Batching and caching strategies to avoid N+1 queries and slow resolver chains.

Permission safety as schema grows

Field-level checks and role-aware rules so access control remains consistent over time.

Cleaner contracts for complex products

A schema that matches your domain model instead of ad-hoc REST shapes per screen.

Maintainable back-end structure

Resolvers and services organised to keep changes safe and reviewable.

Features

What we deliver

Schema design + naming conventions

A clear schema that models entities, relationships, and workflows with predictable patterns.

Resolver implementation

Resolvers backed by clean services and data access layers, with consistent error handling.

Auth + field-level access rules

Role and permission checks enforced across queries and mutations, aligned to your user model.

Batching + caching strategy

DataLoader-style batching, caching where appropriate, and query efficiency to keep responses fast.

Pagination and filtering patterns

Stable pagination and filter conventions so clients can build reliable list experiences.

Docs + tooling support

Schema documentation, examples, and deployment notes so teams can operate and extend the API.

Process

How we work

1
3–5 days

Discovery

We map entities, access rules, and high-value client queries that the schema must support.

2
3–6 days

Schema design

We define schema shape, pagination, and naming conventions with examples for key screens.

3
2–6 weeks

Implementation

We build resolvers, services, and data access with batching and consistent error handling.

4
4–8 days

Performance + QA

We test query efficiency and permission boundaries to ensure responses stay fast and secure.

5
2–3 days

Handoff

We deliver docs, examples, and deployment notes so the API can evolve safely.

Tech Stack

Technologies we use

Core

GraphQLTypeScriptApollo Server / YogaPrisma

Tools

PostgreSQLRedis (optional)DataLoader patternsAuth (JWT/session)

Services

OpenTelemetry (optional)Sentry / logging

Use Cases

Who this is for

SaaS apps with multiple clients

Web app, mobile app, and admin tools all consuming one schema with consistent access rules.

Data-rich dashboards

Efficient queries for complex views without creating many bespoke REST endpoints.

Marketplace-style products

Entities with many relationships where flexible querying improves product velocity.

Gradual migration from REST

Introduce GraphQL for key modules while keeping existing endpoints during transition.

Integration-heavy workflows

Compose multiple data sources behind a single schema while keeping caching and reliability in mind.

FAQ

Frequently asked questions

Not if built correctly. We implement batching and avoid N+1 issues, and we validate query patterns so performance remains predictable.

Yes. Field-level and resolver-level checks are a core part of GraphQL safety for real products with roles.

Yes. Many teams start with one module or client and expand as the schema proves value.

Yes. We provide schema docs and examples for key queries/mutations to speed up frontend integration.

We typically use Node + TypeScript with Apollo/Yoga and PostgreSQL/Prisma, but we can adapt to your existing environment.

Ready to start?

Need a GraphQL API that stays fast?

Share your entities and UI needs. We’ll design a schema and resolver strategy that fits your product and data constraints.

Schema + docs + handoff included.