🧩GraphQL

NEW

A typed API query language and runtime enabling clients to request exactly the data they need.

DESCRIPTION

GraphQL defines a strongly-typed schema and a runtime with resolvers that fetch data from backend services. Clients specify data requirements in a single query, reducing over- and under-fetching. Features include introspection, subscriptions, and schema stitching or federation for distributed services. It improves API evolution through additive changes and tooling such as code generation and validation. Popular implementations include Apollo Server and reference libraries across languages.

ALTERNATIVE DEFINITIONS

GraphQL Foundation

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data.

Emphasizes both query language and runtime aspects.

Source

Apollo GraphQL

GraphQL is a query language for APIs that enables declarative data fetching, allowing clients to specify exactly what data they need.

Highlights declarative fetching and client-driven queries.

Source

RELATED TERMS

Schema Definition Language Apollo Server Resolver Federation Introspection Relay N+1 Problem Caching

COMPETING TERMS

REST API gRPC

KNOWLEDGE AREAS

Programming Languages Data Integration & Interoperability Software Engineering

TARGET AUDIENCE

Software Developer Data Engineer AI Engineer DevOps Engineer

EXTERNAL SOURCES

• Wikipedia - GraphQL
• GraphQL Foundation - Official GraphQL specification
• Apollo GraphQL - Popular GraphQL server implementation
• Meta - Client framework for GraphQL

TOP QUESTIONS

Why choose GraphQL over a REST API?

GraphQL reduces over- and under-fetching by letting clients request exact fields. It also supports strong typing and introspection for tooling and safer evolution.

Category: Opinion

What is the biggest misunderstanding about GraphQL?

People often think GraphQL is a database technology; it is an API layer and runtime that fetches data from existing services and databases.

Category: Misunderstanding

How does GraphQL handle versioning compared to REST?

GraphQL favors additive, backward-compatible schema changes without URI versions. Deprecated fields are signaled via metadata until removal.

Category: Best practices

What are common mistakes when implementing GraphQL?

Ignoring the N+1 query problem, overexposing mutations, and missing authorization on resolvers are common mistakes that impact performance and security.

Category: Mistakes

How does GraphQL Federation help scale GraphQL?

Federation composes multiple subgraphs into a single supergraph, enabling teams to own domains and scale independently.

Category: Example

Is GraphQL suitable for real-time data?

Yes, GraphQL supports subscriptions for pushing updates, though implementations and transport choices vary across platforms.

Category: Relevancy

How is schema validation performed in GraphQL?

Schemas are validated against the GraphQL specification and linted with tools that enforce naming, nullability, and deprecation rules.

Category: Testing

What is a hot topic around GraphQL today?

GraphQL federation, caching strategies, persisted queries, and cost analysis to mitigate expensive queries are current focus areas.

Category: Topic

What alternatives compete with GraphQL?

REST APIs and gRPC are common alternatives. Choose based on client flexibility, performance needs, and ecosystem tooling.

Category: Alternatives