REST vs GraphQL on the Platform: A Practical Playbook
Building with a prompt to app tool is fast, but production choices still matter. Whether you ship with Glide vs AI app builder alternatives, or hand-code, the API layer sets your ceiling for scale. Here's how to choose between REST and GraphQL for rapid application development with AI features, analytics, and enterprise governance.
When REST wins
- Stable, task-oriented workflows. Example: POST /invoices, GET /invoices/{id}. Clear verbs reduce ambiguity for auditors and junior teams.
- Edge caching and CDNs. Deterministic URLs let you cache GETs aggressively; set ETags and Cache-Control to slash latency for public catalogs.
- Rate-limited, costed services. Apply per-endpoint throttles and cost units; easier to forecast spend for procurement.
- Streaming uploads/downloads. Chunked media transfer, resumable uploads, and presigned URLs are simpler with REST.
- 3rd-party integrations. Most SaaS webhooks post REST payloads; passthrough mappings are straightforward.
When GraphQL excels
- Mobile and AI agents that hate overfetching. Ask exactly for fields you need; shrink payloads 30-70% in feed or chat panes.
- Complex joins across microservices. Federation lets profiles, billing, and content resolve in one round trip.
- Rapid iteration in UX. Add a field to the schema and ship without API version churn. Perfect for prompt-generated UI that shifts daily.
- Schema as contract. Strong types drive autocomplete, guards, and test generation in CI.
Design patterns on this platform
Model mutations in REST for write-heavy, auditable actions; expose reads in GraphQL for composable views. Use persisted GraphQL queries for caching and allowlist security. For REST, version with /v2 and deprecate via Sunset headers. Implement a BFF (backend for frontend) to adapt both for each surface-web, mobile, or internal tooling.
Security and governance
- Enforce row-level rules in resolvers and controllers; never trust client filters.
- Scope tokens by operation: REST scopes per endpoint; GraphQL scopes per field set using directives.
- Log at the intent level: "Invoice.pay" rather than POST /invoices/123/actions/pay.
- Threat-model N+1 in GraphQL; cap depth/complexity and enable dataloader batching.
Migration playbook
- 1) Inventory top 20 REST reads; 2) build GraphQL equivalents; 3) roll out via feature flags; 4) sunset after SLO parity.
- Backfill docs from OpenAPI to GraphQL schema notes; keep examples in both cURL and queries.
Benchmarks and cost
Measure P95 end-to-end: REST cached GET target 80-120 ms; GraphQL federated query target 140-220 ms with efficient resolvers. Track dollars per 1k requests and resolver hops. Alert on query depth spikes from misbehaving AI agents.
Decision checklist
- Strict auditing or streaming files? Prefer REST.
- Highly variable read shapes or microservice joins? Prefer GraphQL.
- Citizen-dev speed in a prompt to app tool? Start GraphQL reads + REST writes.
- Enterprise procurement and vendor SLAs? REST-first with GraphQL gateway for UI agility.
- Need strict CDN caching guarantees? Choose REST.
