REST → GraphQL Migration

Migrate REST APIs to GraphQL.

REST to GraphQL migration at Empyreal Infotech reduces endpoints by 60-80%, improves client performance through exact-data queries, and strengthens API contracts in 10-16 weeks.

Replace multiple REST endpoints with a single queryable API. Clients fetch exactly what they need. Better performance, faster development, stronger contracts.

60–80% endpoint reduction. Timeline 10–16 weeks. Investment $130–200K. Founder-led schema design and resolver performance.

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Apollo · Relay · HasuraDataLoaderCost analysis10–16 weeks
Why Migrate

Why migrate to GraphQL.

REST endpoints are fragmented and bloated

One endpoint returns too much data. Another too little. Clients overfetch or make N+1 requests. GraphQL's single entry point eliminates this.

Versioning complexity slows deployment

v1, v2, v3 endpoints. Backward compatibility is a nightmare. GraphQL's type system evolves gracefully without breaking clients.

Mobile clients are starved for efficiency

REST forces bandwidth waste on mobile. GraphQL lets clients request exactly what they render. Battery life improves. Latency drops.

Trade-offs

What GraphQL changes.

Complexity comes upfront in schema design

REST lets you be lazy about structure. GraphQL forces you to think about queries, resolvers, and data relationships early.

Query complexity needs protection

Clients can write expensive queries (deeply nested, many fields). Requires query depth limits, cost analysis, and rate limiting strategy.

Caching strategy is fundamentally different

REST's URL-based HTTP caching doesn't work. Requires client-side cache management (Apollo Client, Relay) or server-side solutions (DataLoader).

The Migration Path

Five steps to full cutover.

01

REST API Audit & GraphQL Schema Design

Map all REST endpoints, parameters, response shapes. Design GraphQL schema (types, queries, mutations). Document resolver responsibilities. Timeline: 2–3 weeks.

02

GraphQL Server Build (Apollo, Hasura, or custom)

Build GraphQL server (Node/Express, Go, or Hasura). Implement resolvers. Add authentication and authorization. Set up DataLoader for batch queries. Timeline: 3–4 weeks.

03

Client Migration (Web, Mobile, Backend)

Migrate web frontend from REST to Apollo Client or Relay. Migrate mobile clients (iOS/Android) to GraphQL queries. Update backend services consuming REST. Timeline: 3–5 weeks.

04

Query Optimization & Caching Strategy

Analyze query patterns and optimize resolver performance. Implement cost-based rate limiting. Configure caching (HTTP, Redis, client-side). Test N+1 query prevention. Timeline: 2–3 weeks.

05

Deprecation, Monitoring & Cutover

Run REST and GraphQL in parallel. Monitor query performance and error rates. Deprecate REST endpoints in phases. Train teams on GraphQL best practices. Timeline: 2–3 weeks.

Risks & Honest Timeline

Real risks to manage.

Schema design mistakes are expensive (broadcast to all clients). Query complexity attacks require monitoring discipline. Team skill gap (GraphQL is a paradigm shift for REST developers). Client libraries have their own learning curve (Apollo, Relay complexity). N+1 queries will surface immediately in production if not caught in testing.

Next Step

Ready to go GraphQL?

Empyreal architects and builds GraphQL migrations for API-first teams. We design scalable schemas, optimize resolver performance, and guide teams through the paradigm shift.

Start the conversation Email Mohit directly
Questions

Frequently asked questions about REST to GraphQL API migrations

Direct answers about how this engagement actually works. If your question is not here, ask Mohit directly.

Should we build GraphQL alongside REST and deprecate endpoints, or do a full cutover?
Parallel operation. Build GraphQL resolver layer, connect it to your existing data sources (no backend rewrite). REST endpoints stay live, point them at the same database. Clients migrate to GraphQL over 6-8 weeks. Once 80% of clients use GraphQL, deprecate REST endpoints with a 4-week notice. Reduces risk; clients choose their pace.
How long does REST-to-GraphQL take, and what's the cost?
10-16 weeks, $130-200K. You're not rewriting your backend logic; you're adding a query layer on top. For a 48-endpoint REST API, you'll write 30-40 GraphQL types and 100-150 resolvers. Schema design is the biggest piece (3-4 weeks). Testing and performance tuning (N+1 queries) takes another 3-4 weeks.
How do we prevent URL breakage and user confusion during API migration?
REST URLs stay unchanged. Your GraphQL endpoint is a new URL (e.g., /graphql). Old clients hit /api/* and get REST responses. New clients hit /graphql and get GraphQL responses. No URL rewrites, no redirects. Clients migrate independently; you don't force cutover. Versioning is simpler with GraphQL because schema evolution doesn't break queries.
What's the biggest technical challenge moving from REST to GraphQL?
N+1 query problem. A single GraphQL query can trigger dozens of database calls if you're not careful. Solution: DataLoader library batches SQL queries automatically. Expect 2-3 weeks tuning resolver performance, adding caching (Redis), and testing deeply nested queries. Profile every resolver; slow ones will expose your database bottlenecks.
If GraphQL performance is poor, can we keep REST running?
Yes. REST endpoints stay active forever. If GraphQL is slow, clients revert to REST. No client breaks. However, you must maintain both APIs, which means bugfixes and feature additions happen twice. Better: profile GraphQL heavily before launch. Cache aggressively. Use federation if your schema is too large.
What do you hand over after migration?
GraphQL schema documentation (auto-generated via GraphQL playground or Apollo Studio), resolver performance guide with N+1 prevention tips, DataLoader setup and batching examples. Apollo or Relay client setup guide. Monitoring for slow queries and errors (Sentry, DataDog). 1-week training on GraphQL best practices, schema design patterns, and cost analysis to prevent expensive queries from reaching your database.

Have a different question? Email the team or read the full FAQ.