REST vs GraphQL on our AI site platform: when to use each
Building content-rich sites with a portfolio website builder AI, an online AI app builder, or a multi-page site generator AI demands clear API choices. Here's how to choose between REST and GraphQL on our platform-without guesswork.
Data shapes and fetching
REST exposes resource-driven endpoints with stable URLs; GraphQL lets clients specify exactly which fields they want in a single query. If your page pulls many small resources (author, projects, testimonials), GraphQL can collapse N+1 calls. If you're streaming files or posting forms, REST remains straightforward and cacheable.
- Choose REST when payloads map to resources, pagination is simple, and you want URL-based caching out of the box.
- Choose GraphQL when pages assemble heterogeneous blocks, need partial fields, or must avoid waterfall requests.
Performance and caching
REST plays nicely with CDNs via status codes, ETags, and Cache-Control. GraphQL benefits from persisted queries, field-level resolvers, and per-type caching, but requires discipline.
- For public read traffic (homepages, galleries), prefer REST with immutable asset URLs and long TTLs.
- For editor dashboards or dynamic themes, use GraphQL with persisted IDs and automatic batching.
- Enable cost-aware limits: max nodes, depth, and timeout per operation.
Versioning, evolution, and governance
REST versions cleanly with /v1, deprecating fields gradually. GraphQL favors additive changes; use @deprecated and schema directives. For enterprises, codify change windows and schema review gates.
Auth, rate limits, and cost controls
Token scopes are simpler in REST (per endpoint). In GraphQL, enforce field- and resolver-level authorization and query cost scoring. Expose usage metrics by team and environment to prevent noisy neighbors.
- REST: per-route quotas, 429 with Retry-After, and idempotency keys for POST/PUT.
- GraphQL: throttle by estimated cost, enforce persisted queries in production, and disable introspection for public clients.
Real scenarios on the platform
- Portfolio pages: GraphQL fetches hero, case studies, and CTA in one round trip; REST serves images and sitemaps via CDN.
- Template marketplace: REST lists templates with fast edge caching; GraphQL powers faceted search and personalized recommendations.
- Multi-tenant analytics: REST streams events; GraphQL queries aggregates for dashboards without overfetching.
Implementation patterns
- Use a BFF: REST upstreams; expose GraphQL to the web client for flexible composition.
- Federate services to keep schemas small; normalize naming and error codes.
- Prefer webhooks for build triggers; use GraphQL subscriptions only for live previews.
Migration playbook
- Inventory endpoints; tag "chatty" pages for GraphQL first.
- Introduce a read-only GraphQL layer; keep writes on REST until stabilized.
- Roll out persisted queries, then tighten rate limits and cache policies.
Decide page-by-page: REST for cacheable assets and stable resources; GraphQL for personalized, composite views. That mix lets a portfolio website builder AI, an online AI app builder, and a multi-page site generator AI scale.
