GraphQL API Development Services

GraphQL API development for products whose clients need different views of the same data.

A mobile app, web dashboard, and partner portal rarely need the same fields. RaftLabs designs GraphQL schemas and resolvers that let each client request the shape it needs while keeping authorization, query cost, batching, and change rules visible. We start with one domain and one real client before expanding the graph.

See our work

Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.

The brief

Start with what is not working.

Good software decisions begin with the constraint, not a list of features or a preferred technology.

01

Are mobile and web clients making several calls to assemble one screen or downloading fields they never use?

02

Has a shared GraphQL endpoint become slow or difficult to secure because nobody owns the schema and resolver rules?

Plain answer

GraphQL API development gives different clients controlled access to one typed data graph. RaftLabs designs schemas, resolvers, batching, authorization, query limits, and contract tests for web, mobile, and partner products. A focused first domain starts at $25,000 and usually takes 6 to 14 weeks.

One screen needs three fields. Another needs the whole relationship.

The mobile team trims an oversized response after every request. The dashboard team chains several endpoints to assemble one view. A partner needs only a stable subset, but inherits the same payload as everyone else.

GraphQL can give each client the data shape it needs. That flexibility is useful only when the schema, permissions, and query cost remain controlled.

First scope

starting price for one focused graph domain
$25K
RaftLabs planning model
typical first release window
6 to 14 weeks
Depends on source and migration complexity
integrated before the graph expands
1 client
Real queries replace speculative schema work

GraphQL earns its place when client diversity creates real delivery friction.

If standard resource operations already work, REST is the cheaper interface to understand and operate.

A fit
01

Web, mobile, or partner clients need materially different views of connected data.

02

Screens spend noticeable time making several calls or joining responses on the client.

03

A named owner can govern the schema, permissions, and breaking-change policy.

Not a fit
01

One client performs straightforward create, read, update, and delete operations.

02

The underlying services are slow or inconsistent and a new query layer would only hide that debt.

03

The team cannot yet define which clients may see each object and field.

Scope

What a production GraphQL layer needs

  • 01

    A schema built around the domain

    Types, inputs, mutations, errors, and pagination follow the business model rather than exposing database tables. Descriptions and deprecation notes live with the schema so clients can inspect the current contract.
  • 02

    Resolvers that batch and bound work

    Per-request batching avoids repeated reads for related fields. Pagination, timeouts, complexity limits, and resolver tracing keep one flexible query from creating unbounded database work.
  • 03

    Authorization at object and field level

    Identity enters through the request context. Policies then decide which operations, records, and sensitive fields each caller may use. Allowed and denied paths receive automated tests.
  • 04

    Change, subscription, and operating controls

    Contract checks catch incompatible schema changes. Subscriptions are added only where pushed updates change a user decision, with authentication, reconnect behaviour, event filtering, and monitoring included.

Should this product use GraphQL or REST?

GraphQL vs REST

RESTGraphQL
Best fitStable resource operations and broad interoperabilitySeveral clients need different views of connected data
Response shapeThe server defines each endpoint responseThe client selects fields from the published schema
Performance workEndpoint and HTTP-cache behaviourResolver batching, query cost, and field usage
Change modelAdditive fields or explicit version boundariesAdditive schema changes plus field deprecation
Operating costUsually simpler to observe and governMore flexible, with extra schema and query governance

Some products use both. The decision follows the consumers and operations, not a preference for one technology.

How it works

From client queries to a supported graph

Start with one domain and prove the graph with a real client.

  1. Phase 1
    01

    Map client queries

    List the screens, operations, permissions, latency limits, and data owners for one domain. This shows whether GraphQL removes enough client work to justify itself.

  2. Phase 2
    02

    Review the schema

    Agree types, fields, mutations, errors, pagination, and change rules with the first client before resolver work expands.

  3. Phase 3
    03

    Prove resolver behaviour

    Use representative data to test batching, authorization, pagination, query limits, errors, and slow-field tracing.

  4. Phase 4
    04

    Integrate one client

    Release to one consumer, watch query cost and failure patterns, document ownership, and add fields or domains only from observed demand.

Where GraphQL projects usually go wrong

The schema mirrors the database
Storage details leak into every client and make later data changes unnecessarily expensive. Model the business contract first.
Every resolver fetches alone
A tidy query can trigger dozens of repeated reads. Batch related work per request and measure resolver cost with representative traffic.
Authorization stops at the operation
A caller allowed to run a query may still be barred from a specific record or field. Test those boundaries explicitly.
Federation arrives before ownership
Splitting a graph without stable domain owners adds routing and release work without creating autonomy. Start modular and federate when team boundaries require it.

Scope and price

A focused GraphQL domain starts at $25,000.

Begin with one client, one business domain, and the schema, resolvers, permissions, tests, and operating controls needed for a supported release.

Add subscriptions or federation only after the first graph has real usage and named ownership.

Starting investment

Starts at $25,000

A focused first graph usually takes 6 to 14 weeks. Existing service quality and migration risk move the estimate most.

Architecture decision first

We compare GraphQL with a simpler REST design before fixing the scope. If client diversity does not justify a graph, we say so.

Fixed-price phase

Once the first domain, client, and acceptance checks are agreed, its price is locked in writing. Changes require approval before work begins.

Useful next steps

More on integrations & APIs

Common questions

Use GraphQL when several clients need different views over connected data and the flexibility removes meaningful client-side work. REST is often simpler for stable resource operations, public partner contracts, webhooks, file transfer, and cache-friendly endpoints. We map real client queries before choosing either pattern.

We batch related reads, cap query depth and complexity, bound pagination, time out expensive work, and measure resolver latency. For controlled clients, persisted operations can limit production traffic to reviewed query documents. The exact controls depend on the graph, data stores, and callers.

Yes. A product may use GraphQL for first-party screens, REST for partner operations, and webhooks for event delivery. Sharing business services underneath both interfaces prevents the same rules from being reimplemented in each transport.

Federation becomes useful when several teams genuinely own separate graph domains and need to release them independently. It adds composition, routing, ownership, and operating work. A modular single service is usually the better first graph when one team owns the domain.

A focused first graph over one business domain starts around $25,000 and usually takes 6 to 14 weeks. Existing service quality, schema complexity, authorization, subscriptions, migration, and federation increase the scope. We fix the first phase price after reviewing representative queries and data boundaries.

Work with us

Show us the screen your API makes awkward.

Bring its current requests, response shapes, and permission rules. We will tell you whether GraphQL earns its extra operating cost.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.