Key Considerations for Migrating to GraphQL
While our GraphQL API delivers significant benefits - such as faster page loads, reduced data usage, and improved developer control - migrating from our legacy APIs requires a shift in how your team interacts with our platform. This section outlines the key differences in development practices to support a smooth transition.
From “Endpoints” to a “Single Data Contract”
The most fundamental change is moving from REST’s resource-centric model to GraphQL’s schema-driven approach.
| REST API Approach | GraphQL Approach | Impact on Your Application |
|---|---|---|
| Fixed Resources (Endpoints) | Flexible Data Graph (Schema) | Faster Feature Development. You define the data structure and dependencies you need, enabling rapid iteration without waiting for new endpoints. |
| Multiple Calls Required | One Query, All Data | Fewer Round Trips. Fetch related data - such as user details, orders, and line items - in a single request, reducing latency. |
| Fixed Data Payloads | Select Only What You Need | Efficiency Gains. Request only the fields your app uses, resulting in smaller payloads and better performance, especially on mobile. |
Developer takeaway: Your team will shift from calling specific URLs (e.g. /products/123) to crafting precise queries that describe the exact data needed for each view.
A Change in Developer Tooling and Workflow
GraphQL supports structured approaches to debugging, testing, and error handling, with a robust ecosystem of tools and best practices to assist developers.
| REST API Workflow | GraphQL Workflow | Required Developer Action |
|---|---|---|
| Testing with Postman / cURL | Testing with GraphiQL / Apollo Explorer | Use our in-browser GraphQL IDE for autocomplete, schema inspection, and live query testing. |
| Error Checking via HTTP Status Codes | Error Checking via Response Body | Update logic to parse the errors field in the response, as GraphQL always returns 200 OK. |
| Call-Based Rate Limiting | Cost-Based Rate Limiting | Optimise queries based on complexity scores. Learn to inspect query cost to stay within usage budgets. |
Developer takeaway: GraphQL’s introspective schema and tooling ecosystem streamline development, but require updated error handling and query optimisation strategies.
Strategy for a Seamless Migration
To minimise disruption, we recommend an incremental, hybrid approach:
- Start with New Features: Build new screens and features using GraphQL to gain experience without affecting stable code.
- Use a Hybrid Architecture: Run REST and GraphQL side-by-side. For example, keep legacy REST powering the existing reports while GraphQL handles a new reporting page.
- Adopt Client-Side Caching: Because GraphQL uses a single endpoint, standard browser caching is less effective. Use tools like Apollo Client or Relay to manage caching and state efficiently.
Developer takeaway: Migration doesn’t require a full rewrite. You can adopt GraphQL gradually, starting with new use cases and integrating caching tools to maintain performance.
Benefits of Migrating
| Feature | REST | GraphQL |
|---|---|---|
| Multiple Calls | Yes | No |
| Manual Data Join | Yes | No |
| Field Selection | Fixed | Flexible |
| Performance | Slower | Faster |
| Script Complexity | High | Low |
Updated about 2 hours ago