Our GraphQL Adoption Journey: What Worked and What Did Not

GraphQL promised to solve our over-fetching problems and reduce the number of API calls our frontend needed. It delivered on those promises — but came with trade-offs we did not expect.

What Worked

• Frontend teams can request exactly the data they need
• Reduced number of network requests by 40 percent
• Schema-as-documentation eliminated API documentation drift
• Type generation gives frontend engineers compile-time safety

What Did Not

• N+1 queries were a constant battle until we adopted DataLoader
• Caching is harder than REST — we had to build custom cache key strategies
• Query complexity analysis was necessary to prevent abusive queries
• Monitoring and debugging required GraphQL-aware tooling