GraphQL streamlines data access, but its dynamic, payload-based requests break traditional CDN caching, resulting in latency, increased costs, and backend strain. Harper solves this with a fused, edge-native runtime that combines database, cache, application logic, and messaging functions into a single process. By resolving queries closer to users with cached data, Harper reduces egress and boosts performance. And with an incremental adoption path—from full-query caching to field-level routing—teams can see immediate gains without major rewrites.
Most GraphQL platforms leave teams juggling too many moving parts—external databases, distributed caches, middleware, polling infrastructure—just to make a single query fast and fresh. Harper changes that by fusing the pieces together and bringing them to the edge.
Deployed at the edge near every user, Harper’s fused runtime streamlines query resolution with one lightweight process. This architecture eliminates the traditional tradeoffs between speed, scale, and simplicity.
Whether you're looking to reduce origin traffic, accelerate personalized UIs, or simplify GraphQL operations at scale, Harper meets you where you are. Start with whole-query caching for instant gains, or move straight into field-level control, real-time updates, and edge-native logic.
Harper can replace your existing GraphQL resolver, allowing you to maintain your current API contract while gaining performance and flexibility from the start. It’s a lightweight switch with minimal impact on clients and a clear path to deeper optimization over time.
Start small. Scale fast. Modernize GraphQL without disrupting your users.
