APIs that give clients exactly what they ask for
We build GraphQL APIs that let your clients request exactly the data they need, reducing over-fetching and giving frontend teams far more flexibility.
Overview
REST APIs solve a real problem imperfectly: clients frequently need to make multiple requests to gather related data, or receive far more data than they actually need from a single endpoint designed to serve every possible client's needs at once. GraphQL addresses this directly by letting clients specify exactly what data they need, in exactly the shape they need it, retrieved in a single request regardless of how many underlying resources that data spans.
We design GraphQL schemas deliberately around your actual domain model and genuine client query patterns, not as a mechanical mirror of your database structure, since that approach just relocates REST's over-fetching problem rather than solving it. This includes real-time capability through GraphQL subscriptions where your application needs live data, unified within the same API and schema as standard queries.
Because GraphQL's flexibility for legitimate clients also creates genuine risk from poorly constructed or malicious deeply-nested queries, we implement query complexity analysis and depth limiting as essential production infrastructure, not an optional afterthought. The result is an API that delivers GraphQL's genuine advantages, efficient, flexible client queries and a self-documenting, explorable schema, without the performance risks that come from leaving that same flexibility unguarded.
What we build
A flexible, efficient API layer that gives frontend teams exactly the data they need, nothing more.
Schema Design
A GraphQL schema that simply mirrors your database structure misses most of the actual value GraphQL offers, since it just relocates REST's over-fetching problem into a different syntax rather than genuinely solving it. We design schemas deliberately around your actual domain model and how clients genuinely need to query and relate data, thinking carefully about which fields belong together, how nested relationships should be traversable, and where computed or derived fields would save clients from doing that work themselves after receiving raw data. This domain-driven approach to schema design is what actually delivers GraphQL's core promise, clients requesting exactly the data they need in exactly the shape they need it, rather than a schema that's technically GraphQL but still requires the same over-fetching or multiple-request patterns REST was supposed to be an improvement over.
Real-Time Subscriptions
Static data alone doesn't cover every use case a modern application needs, chat features, live dashboards, and collaborative tools all require data that updates in real time rather than only on request. We implement GraphQL subscriptions specifically for these real-time scenarios, giving you live data updates within the same unified API and schema as your standard queries and mutations, rather than needing to build and maintain an entirely separate real-time system alongside your GraphQL API. This unification matters practically, since maintaining consistent authorization logic, data modeling, and client tooling across a single API is considerably simpler than keeping a separate real-time system's data model and permissions properly synchronized with your primary API's.
Performance & Security Safeguards
GraphQL's flexibility, letting clients construct queries traversing arbitrarily deep nested relationships, creates a genuine performance and security consideration that doesn't exist with REST's fixed endpoints: a poorly constructed or intentionally malicious query could request an unreasonable depth of nested data, potentially degrading server performance significantly. We implement query complexity analysis and depth limiting specifically to guard against this, calibrated to allow legitimate complex queries your actual clients need while preventing the kind of runaway queries that could otherwise be used, intentionally or not, to overwhelm your backend. This safeguard is essential infrastructure for any production GraphQL API, not an optional addition, since GraphQL's greatest strength for legitimate clients is also its greatest risk if left unguarded.
How we design GraphQL APIs that deliver on the promise, not just the syntax
A process focused on genuine domain-driven schema design, not GraphQL syntax applied to a REST mindset.
- 01
Domain Model & Query Pattern Analysis
We map your actual domain model and study how clients genuinely need to query and relate data, ensuring the schema design reflects real usage patterns rather than mechanically mirroring your underlying database structure.
- 02
Schema Design
We design the GraphQL schema itself, defining types, relationships, and any computed fields that save clients from post-processing raw data themselves, structured specifically around how your application's clients actually need to consume data.
- 03
Resolver Implementation & Query Safeguards
We implement resolvers connecting the schema to your actual data sources, along with query complexity analysis and depth limiting configured to allow legitimate complex queries while guarding against runaway or abusive queries.
- 04
Real-Time Subscription Implementation
For applications needing live data, we implement GraphQL subscriptions within the same unified schema, ensuring real-time capability integrates consistently with your standard queries and mutations rather than requiring a separate system.
- 05
Authorization & Access Control Testing
We implement field-level authorization where needed, ensuring different users can query the same schema but receive only the specific fields their permission level allows, tested thoroughly against realistic access scenarios.
- 06
Schema Finalization & Integration Support
We finalize the self-documenting schema and provide guidance on using tools like GraphiQL for exploration, supporting your team's first integrations and refining based on genuine usage patterns that emerge.
GraphQL technology stack
We build GraphQL APIs using the leading tools in the modern GraphQL ecosystem.
Frequently Asked Questions
GraphQL lets clients request exactly the data they need in a single query, specifying precisely which fields to return, while REST typically requires either multiple endpoint calls to gather related data or returns more data than a specific client actually needs from a single endpoint.
Yes, GraphQL is especially valuable for mobile apps specifically, where minimizing data transfer and the number of network requests directly improves performance on potentially slower or less reliable mobile connections compared to typical desktop usage.
Yes, we build GraphQL layers on top of existing REST APIs or legacy backend systems without requiring a full backend rewrite, letting you gain GraphQL's client-side flexibility while your existing backend infrastructure continues operating largely unchanged underneath.
Yes, we implement query complexity analysis and depth limiting specifically to prevent overly expensive or malicious queries from degrading performance, since GraphQL's flexibility for clients also creates the potential for a poorly constructed or intentionally abusive query to request an unreasonable amount of nested data.
Yes, we set up GraphQL subscriptions specifically for real-time data updates alongside standard queries and mutations, giving you live data capabilities within the same unified API rather than needing an entirely separate real-time system.
Yes, GraphQL's self-documenting schema, combined with tools like GraphiQL for interactive exploration, makes discovering and understanding available data considerably easier than working through separate REST documentation for each individual endpoint.
Yes, we design the GraphQL schema deliberately around your actual domain model and how clients genuinely need to query data, rather than mechanically mirroring your database structure, since a schema that just mirrors the database tends to leak implementation details clients shouldn't need to know about.
Yes, we implement field-level authorization within the GraphQL schema where genuinely needed, ensuring different users can query the same endpoint but only receive the specific fields their permission level actually allows, rather than requiring separate endpoints for different access levels.
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