API Connect Now Supports GraphQL: Unified API Management

Beyond REST: The Multi-Protocol API Landscape

When we launched API Connect two years ago, the API management landscape was dominated by REST APIs. While REST remains the most widely used API style, the landscape has diversified significantly. GraphQL adoption has surged, driven by frontend teams seeking more flexible data fetching capabilities. gRPC is increasingly popular for internal microservice communication. WebSocket-based APIs power real-time features. Event-driven APIs using webhooks and server-sent events are growing rapidly. Modern API management platforms need to support this multi-protocol reality, and today we are taking a major step in that direction with the launch of full GraphQL support in API Connect.

GraphQL presents unique challenges for API management that traditional REST-oriented platforms are not equipped to handle. In REST, each endpoint returns a fixed response shape, making it straightforward to apply rate limiting, caching, and analytics on a per-endpoint basis. In GraphQL, a single endpoint accepts arbitrary queries that can range from simple field lookups to deeply nested queries that join data from multiple backend services. The same endpoint can generate wildly different server loads depending on the query, making traditional rate limiting and analytics approaches inadequate. API Connect's GraphQL support addresses these challenges with query-aware rate limiting, cost-based throttling, schema-level analytics, and intelligent query optimization.

Our goal with GraphQL support is not just to add another protocol checkbox, but to provide the same depth of management, security, and observability capabilities for GraphQL APIs that our customers already enjoy for their REST APIs. This means full lifecycle management from schema design to deprecation, comprehensive security controls including authentication, authorization, and input validation, detailed analytics and monitoring at the query level, and developer experience features like interactive documentation and client SDK generation.

Query-Aware Rate Limiting

One of the most significant challenges of managing GraphQL APIs is rate limiting. With REST APIs, rate limiting is typically applied on a per-endpoint, per-client basis—each client is allowed a certain number of requests per time window to each endpoint. This approach does not work well for GraphQL because all queries go to a single endpoint, and the server-side cost of processing different queries can vary by orders of magnitude. A simple query that fetches a user's name costs almost nothing, while a deeply nested query that fetches a user's organization, all team members, their recent projects, and associated metrics could require dozens of database queries and significant computation.

API Connect solves this problem with query cost analysis. When a GraphQL query arrives, our system analyzes the query's abstract syntax tree to estimate its computational cost based on the types and fields requested, the depth of nesting, the number of list fields that trigger N+1 queries, and configurable cost weights assigned to each field in the schema. The calculated cost is then used for rate limiting instead of a simple request count—clients are allocated a cost budget per time window rather than a request count, ensuring fair resource allocation regardless of query complexity.

Here is an example of how you can configure cost-based rate limiting in API Connect using schema directives:

# GraphQL schema with cost annotations
type Query {
  user(id: ID!): User @cost(complexity: 1)
  users(filter: UserFilter, limit: Int = 10): [User!]! @cost(complexity: 5, multiplier: "limit")
  analytics(query: AnalyticsQuery!): AnalyticsResult @cost(complexity: 20)
}

type User {
  id: ID!
  name: String! @cost(complexity: 0)
  email: String! @cost(complexity: 0)
  organization: Organization @cost(complexity: 2)
  projects(limit: Int = 5): [Project!]! @cost(complexity: 3, multiplier: "limit")
  activityLog(days: Int = 30): [Activity!]! @cost(complexity: 5, multiplier: "days")
}

type Organization {
  id: ID!
  name: String!
  members(limit: Int = 20): [User!]! @cost(complexity: 3, multiplier: "limit")
  billing: BillingInfo @cost(complexity: 5)
}

# Rate limit configuration
# Free tier: 1000 cost units per minute
# Pro tier: 10000 cost units per minute
# Enterprise tier: 100000 cost units per minute

Schema Management and Governance

Managing GraphQL schemas across multiple teams and services requires governance processes that prevent breaking changes, ensure consistency, and facilitate schema evolution. API Connect provides a centralized schema registry that stores all versions of your GraphQL schemas, tracks changes over time, and enforces compatibility rules that prevent breaking changes from reaching production. The schema registry integrates with your CI/CD pipeline to validate schema changes before they are deployed, catching issues like removed fields, changed types, and broken composition rules before they affect clients.

For organizations using schema federation or schema stitching to compose a unified GraphQL API from multiple subgraphs, API Connect provides composition validation that verifies the compatibility of all subgraphs before they are composed into the gateway schema. This catches composition errors like conflicting type definitions, unresolvable references, and circular dependencies. The system supports both Apollo Federation and schema stitching composition strategies. Key schema management features include:

• Automated breaking change detection that compares schema versions and identifies changes that could break existing client queries, including field removals, type changes, and argument modifications.
• Schema linting rules that enforce organizational naming conventions, documentation requirements, and design patterns across all GraphQL schemas, ensuring consistency as the schema grows.
• Deprecation management with usage tracking that shows which clients are still using deprecated fields, enabling data-driven decisions about when to safely remove deprecated elements.

"GraphQL's flexibility is its greatest strength and its greatest operational challenge. Without proper management tooling, GraphQL APIs can become performance nightmares and security risks. Query-aware rate limiting and schema governance are essential for production GraphQL deployments." — Lee Byron, co-creator of GraphQL

GraphQL Analytics and Observability

Understanding how your GraphQL API is being used requires analytics that go beyond simple request counts and latency measurements. API Connect's GraphQL analytics provide field-level usage metrics that show exactly which types and fields are being queried, how frequently, and by which clients. This information is invaluable for understanding your API's usage patterns, identifying performance optimization opportunities, and making informed decisions about schema evolution.

The analytics dashboard provides several views of GraphQL API usage. The query patterns view shows the most common query shapes, their frequency, and their performance characteristics. The field usage view shows which fields are heavily used, rarely used, or never used, which is essential for identifying candidates for deprecation. The client view shows which clients are generating the most load, which query patterns they use, and whether they are following best practices like using persisted queries and query batching. The following table shows example analytics data from our internal GraphQL API:

Security for GraphQL APIs

GraphQL APIs require security measures beyond what is needed for REST APIs. The flexibility that makes GraphQL powerful for clients also creates security risks if not properly managed. Query depth limiting prevents deeply nested queries that can cause exponential backend load. Query complexity limiting prevents queries that request too many fields or traverse too many relationships. Introspection control prevents unauthorized discovery of your schema structure. Input validation ensures that query variables and arguments conform to expected types and constraints.

API Connect implements all of these security measures as configurable policies that can be applied at the gateway level without requiring changes to your GraphQL server. Security policies can be configured per-schema, per-operation, or per-client, allowing fine-grained control over what different client categories are allowed to query. We also integrate with our existing authentication and authorization framework, allowing you to control access to specific types and fields based on the authenticated client's roles and permissions.

1. Enable GraphQL support in your API Connect dashboard and import your existing schemas.
2. Configure cost annotations on your schema fields to enable query-aware rate limiting.
3. Set up schema governance rules to enforce naming conventions and prevent breaking changes.
4. Review the GraphQL analytics dashboard to understand current usage patterns and identify optimization opportunities.
5. Enable security policies including query depth limits, complexity limits, and introspection control.

GraphQL support in API Connect is available today for all customers on the Professional and Enterprise plans. We are offering a thirty-day free trial of GraphQL features for customers on the Developer plan who want to evaluate the capabilities before upgrading. Comprehensive documentation, including a migration guide for teams moving from other GraphQL gateways, is available in our developer portal. We are incredibly excited about bringing our API management capabilities to the GraphQL ecosystem, and we look forward to helping our customers build, manage, and secure their GraphQL APIs with the same confidence they have in their REST APIs.