GraphQL and REST in React Native: Apollo, Caching, and Mobile Network Strategy

Mobile clients operate under variable bandwidth, high round-trip time, and intermittent connectivity. API design materially affects battery life—radio wakeups are expensive—and perceived performance. Teams choose between REST resource endpoints, GraphQL query graphs, and hybrid Backend-for-Frontend (BFF) layers that aggregate domain services behind a single edge.

REST semantics and cache validators

REST leverages HTTP caching with ETag and Last-Modified validators. Implement cursor-based pagination for stable ordering under concurrent writes. Version APIs explicitly to coordinate mobile minimum supported versions and deprecate fields with clear sunset policies.

GraphQL: normalized stores and query planning

GraphQL reduces over-fetching by allowing clients to specify fields. Complex queries risk server overload without query cost analysis, depth limits, and persisted queries for production. Use Apollo Client or Urql with normalized caches to deduplicate entities across screens and avoid redundant network waterfalls.

Transport efficiency

Enable TLS session resumption, prefer HTTP/2 multiplexing, and compress payloads with Brotli or Gzip where CPU trade-offs favor transfer size. Implement exponential backoff with jitter for retries; respect Retry-After headers and surface degraded mode UI when offline.

Stale-while-revalidate and optimistic layers

Show cached data immediately while revalidating in the background—critical for commuters. Pair with optimistic mutations where business rules allow and reconcile failures with transparent rollback paths.

Conclusion

Align API strategy with product requirements and server capacity. Measure p95 latency per endpoint from real devices—not only simulators—and iterate collaboratively with backend teams on schema evolution and SLIs.