An open-source, high-performance GraphQL runtime for building and orchestrating APIs with a declarative configuration.
Tailcall is an open-source GraphQL runtime that allows developers to build high-performance API backends by orchestrating multiple data sources. It uses a declarative configuration to define schemas and resolvers in GraphQL files, eliminating the need for custom code while optimizing for speed and scalability.
Backend developers and architects building GraphQL APIs that need to aggregate data from multiple REST or HTTP-based services efficiently.
Developers choose Tailcall for its exceptional performance in benchmarks, its no-code approach to resolver configuration, and its ability to simplify complex API orchestration with a clean, declarative syntax.
High Performance GraphQL Runtime
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Allows defining both GraphQL schema and resolvers in a single .graphql file using custom directives like @http, eliminating boilerplate code as shown in the JSONPlaceholder example.
Benchmarks demonstrate superior throughput in N+1 query scenarios, outperforming other GraphQL solutions, with detailed evidence from the graphql-benchmarks repository.
Easily combines data from multiple REST APIs into a unified GraphQL endpoint via directives, reducing the need for manual resolver implementation.
Supports caching through the @upstream directive to improve response times by minimizing redundant upstream calls, as indicated in the schema configuration.
Primarily focused on HTTP-based data sources; lacks native support for other protocols like GraphQL subscriptions, WebSockets, or direct database access, requiring workarounds.
The no-code, declarative approach restricts the ability to implement complex business logic or middleware that doesn't fit into simple HTTP call patterns.
As a newer project, it has a smaller community, fewer third-party integrations, and less comprehensive documentation compared to established alternatives like Apollo Server.