REST vs GraphQL on our platform: a pragmatic selection guide
Both protocols are first-class citizens. REST offers stable resource URLs, mature caching, and predictable SLAs. GraphQL provides flexible shape control, fewer round trips, and strong schema contracts. Choosing well depends on payload volatility, aggregation needs, and how you secure and scale your surface.
How we expose both
Every domain ships REST endpoints with versioned paths and cache hints, and a GraphQL schema with typed queries, mutations, and subscriptions. Observability, rate limits, and error semantics are consistent: RFC7807 for REST, typed errors for GraphQL.
Use case: data dashboard generator AI
Dashboard builders assemble heterogeneous metrics, often ad-hoc. GraphQL shines when the AI asks for "just these fields" across users, funnels, and alerts, preventing n+1 calls. Use persisted operations to lock query cost and enable CDN caching at the gateway.
- Prefer GraphQL for exploratory analytics, nested joins, and rapidly changing widgets.
- Prefer REST for pre-aggregated timeseries like /metrics/dau?window=7d, which compress well and cache at the edge.
- Expose long-running reports as REST jobs: POST to create, GET to poll, Webhook to deliver, keeping GraphQL hot path snappy.
Prototype to production workflow
Start in GraphQL for speed: schema introspection, auto-generated types, and mock resolvers accelerate demos. As usage hardens, migrate chatty queries to persisted IDs, add cost limits, and back critical reads with REST snapshots for rock-solid caching. This hybrid lets you move from prototype to production workflow without rewrites.
Authentication and authorization
Our email/password + OAuth authentication builder issues JWTs with tenant, role, and scope. In GraphQL, apply directives for field-level auth and complexity guards per token. In REST, enforce scope matrices per route and use signed ETags to prevent confused-deputy cache hits. Both paths support step-up auth for sensitive mutations.
Performance patterns
- REST: immutable URLs, strong ETags, 304s, tiered CDNs, and background recomputation.
- GraphQL: batched loaders, @defer for large trees, query timeouts, and automatic persisted queries to cut header bloat.
- Use HTTP/2 or HTTP/3, enable gzip/brotli, and propagate request IDs end-to-end.
Migration playbook
- Wrap existing REST with a GraphQL facade for orchestration; keep heavy aggregates as REST.
- Deprecate GraphQL fields with clear end dates; mirror in REST via new minor versions.
- Measure with per-operation SLOs and roll back via gateway flags.
Decision checklist
- Unpredictable shapes, AI-driven queries, multi-resource joins: choose GraphQL.
- Stable, cache-friendly resources, bulk exports, job workflows: choose REST.
- Mixed needs? Use GraphQL for selection, REST for durable aggregates, unified auth either way.
For strict SLAs, publish REST changelogs and pin client versions; for GraphQL, freeze persisted queries per release, enable safelisting, and audit field usage to retire dead data paths without surprises later.
Net result: faster dashboards, safer rollouts, and a platform that scales with your business, developers, and APIs.
