Skip to main content

Nextjs GraphQL

When does GraphQL earn its complexity over REST?

GraphQL earns its place when the service boundary needs typed query composition, not just another endpoint style. Use the Tight Five performance lens first: name the job, choose the smallest graph surface, prove the query path, measure resolver cost, and learn from production traces.

Use with The Graph when blockchain data needs a dedicated indexing layer.

Checks​

  • Schema fields map to real client jobs, not speculative future views.
  • Resolvers have batching, caching, or explicit cost limits before production traffic.
  • Onchain reads use web data indexers when raw RPC calls would make the product slow or brittle.

Failure Modes​

  • GraphQL becomes a pass-through wrapper over REST or database tables.
  • Nested queries hide N+1 costs until production traffic arrives.
  • The Graph is treated as a generic frontend tool instead of an indexing choice for onchain data.

Context​

  • Data Fetching — REST and server-side alternatives to GraphQL
  • Services — Service layer where GraphQL resolvers live
  • Components — Frontend consumers of GraphQL queries

Questions​

When does GraphQL earn its complexity over REST?

  • What query patterns justify a graph layer versus direct database access?
  • How do you prevent N+1 queries from killing resolver performance?
  • When does The Graph's indexing model beat a custom GraphQL server for onchain data?