GraphQL API Schema
Term 19 of 68 in the ERPStack technical glossary
What is GraphQL API Schema?
GraphQL is a query language for APIs that allows client applications to request precisely the data fields they need, reducing over-fetching and consolidating multiple database requests into a single network call.
GraphQL API Schema at a glance
- Model
- 1 endpoint, 1 typed schema; the client states exactly which fields it needs
- Strength
- Collapses 4 REST round trips into 1 request shaped for the screen
- Cost
- Caching is harder than REST, and 1 badly shaped query can trigger an N+1 storm
- Mitigations
- Query depth and complexity limits, persisted queries, and batching at the resolver layer
- Built with
- A GraphQL schema over Drizzle ORM 0.45 and PostgreSQL 18, served from Next.js 16, types shared through TypeScript 5.9, Redis caching resolvers, traced with OpenTelemetry
- Numbers that matter
- 1 endpoint, 1 schema; 4 REST round trips collapsed into 1; 50 orders can become 51 queries without batching; 3 guards — depth, complexity, persisted queries
- Compare with
- REST resources, or tRPC Protocol procedures inside 1 TypeScript codebase
- Commonly paired with
- Redis caching, Drizzle ORM 0.45 resolvers, Zod 4 validation, Next.js 16 routes, Apache Kafka subscriptions and Sentry tracing
How GraphQL API Schema works in production
The ERPStack approach to GraphQL API Schema
We integrate GraphQL endpoints when bridging custom ERP backends with mobile app storefronts, ensuring developers can build views without editing API endpoints.
Frequently asked questions about GraphQL API Schema
When does a GraphQL Schema beat REST?
When clients differ in what they need. A GraphQL Schema lets a mobile screen request 3 fields and a dashboard request 30 from the same endpoint, without the server maintaining a variant per consumer. That is most valuable with several independent clients or rapidly changing front ends. With 1 client under the same team's control, REST or tRPC is usually simpler for the same result.
What are the operational downsides?
Caching and cost control. A GraphQL Schema serves everything through 1 POST endpoint, so HTTP caching by URL no longer applies and caching moves into the application. Clients can also compose expensive queries by accident, which is why depth limits, complexity budgets and resolver-level batching are not optional extras — they are what keeps 1 careless query from saturating the database.
How do you avoid N+1 queries in resolvers?
By batching within a request. A naive GraphQL Schema resolves each nested field independently, so fetching 50 orders with their customers issues 51 queries. A per-request batching loader collects the identifiers and fetches them in 1 statement. This is the single most common performance failure in GraphQL services and it is entirely preventable at the resolver layer.
How should a GraphQL API be versioned?
By evolving rather than versioning. A GraphQL Schema supports adding fields and types freely, since clients only receive what they request, and deprecating fields with a directive that tooling surfaces to consumers. Removal is the only genuinely breaking change, so the practical discipline is measuring which clients still request a deprecated field before deleting it — which the single endpoint makes easy to observe.