Hasura simplifies each stage of the enterprise GraphQL Federation journey: Composing the federated graph, operating it in production, and evolving it to meet business needs.
Declaratively compose your supergraph without any middleware code modifications to your subgraphs for a powerful, flexible data layer.
Get advanced, robust out-of-the-box security, performance, and observability tools and capabilities across the full federated graph.
Confidently evolve your supergraph composition with version control options and audits to understand the impact of any changes.
Compose any topology – declaratively
Hasura’s multi-protocol connection features give you a declarative method to incorporate any existing database and API resources into your supergraph without any boilerplate GraphQL code or changes.
With powerful features, like namespacing and request/response transforms, Hasura is the most seamless way to compose a supergraph.
Compose declaratively without the middleware or proprietary code changes, the underlying implementation details are automatically handled.
Enable seamless integration and composition of GraphQL, REST, and databases for a unified experience for data retrieval and manipulation.
Organize and segregate their federated schemas, providing a structured approach to managing complex data graphs.
Get efficient and precise control over the data retrieved, minimizing over-fetching, to optimize network requests for improved performance.
Authorization
Define and enforce access controls at the graph level, ensuring comprehensive security and authorization for complex, federated data architectures.
Authentication
Enforce authentication policies across federated schemas, ensuring secure and authenticated access to data within the federated data graph.
Observability
Get comprehensive observability with OpenTelemetry-compliant traces, logs, and metrics that play well with your existing APM solutions for effortless monitoring and tracking.
Performance
Easily cache response data from your existing APIs without any effort to support any scale, throughput, and latency requirements.
Security
Get Quality of Service (QoS) and API security features to build a secure and highly available supergraph by addressing common security pitfalls like DoS attacks and GraphQL introspection data exposure.
