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# REST in Peace? What does the API protocol of the future look like? Or do we have it already?

Is REST holding your applications back with high overhead? Discover how blending REST, GraphQL, and gRPC creates the ultimate high-performance API blueprint of the future.

- **Speakers:** [Simon Auer](https://www.wearedevelopers.com/@simon-auer)
- **Event:** World Congress 2025
- **Published:** August 20, 2025
- **Duration:** 20:29
- **URL:** https://www.wearedevelopers.com/videos/1683-rest-in-peace-what-does-the-api-protocol-of-the-future-look-like-or-do-we-have-it-already

## Summary

The presentation explores the evolution of API technologies, questioning whether the decades-old REST standard remains sufficient for modern software development. While REST continues to be the dominant paradigm, its traditional implementations suffer from significant drawbacks, including data over-fetching, high request overhead, and a lack of standardized native real-time communication. By evaluating the strengths and weaknesses of leading alternatives, the discussion paints a picture of what an ideal API protocol of the future might look like.

To build a blueprint for the next generation of APIs, key features are extracted from technologies like GraphQL, gRPC, and cloud-native databases. GraphQL solves data structuring pain points with strong schema-based typing and flexible querying, while gRPC offers exceptional low-latency microservice performance using protocol buffers and persistent streaming connections. Meanwhile, database-as-a-service platforms demonstrate the immense value of built-in offline persistence, automated backend scaling, and granular declarative permission rules.

Ultimately, the ideal API of the future must seamlessly blend developer experience, high performance, and robust security. A unified wishlist includes automated protocol handling, built-in introspection, and API mockability, alongside AI-driven innovations like intelligent threat detection and predictive self-optimization. While a single perfect framework does not yet exist, developers can achieve optimal results by matching available technologies to precise application demands: utilizing REST for simple data retrieval, GraphQL for complex nested queries, and gRPC for high-performance system-to-system communication.

**Keywords:** REST API limitations, API protocol evolution, graphql schema typing, gRPC microservices, protocol buffers serialization, data over-fetching solutions, websocket real-time streaming, remote procedure calls, backend as a service, offline data persistence, API introspection, AI-generated API documentation, predictive API optimization, API data mockability, declarative permission rules

## Chapters

1. **The enduring legacy of REST APIs** (00:05) — The persistent dominance of REST APIs despite broad technological advancements since the early 2000s.
1. **Challenges and limitations of REST APIs** (02:30) — Common development pain points include over-fetching, undefined structures, request overhead, and poor real-time support.
1. **Clarifying API technologies and future scope** (03:50) — Essential terminology constraints and the expected scope of API technologies over the next decade.
1. **Core concepts and categories of APIs** (05:54) — Key operational differences between resource-oriented, procedure-oriented, and server-driven application interfaces.
1. **Strengths and gaps of the REST protocol** (07:47) — The core advantages and operational gaps of REST necessary to define future protocol requirements.
1. **Addressing data query flexibility with GraphQL** (10:28) — How GraphQL solves data fetching issues while introducing operational complexity and potential performance pitfalls.
1. **High performance communication protocols using gRPC** (13:14) — Leveraging gRPC and binary serialization for high-efficiency remote procedure calls across distributed microservices.
1. **Extracting application architecture concepts from Firebase** (15:56) — Key architecture takeaways like offline persistence, automatic scaling, and declarative permissions from serverless databases.
1. **Creating the ultimate future API wishlist** (17:41) — Synthesizing desired developer constraints involving performance, security, and next-generation artificial intelligence capabilities.
1. **Choosing the right API protocol today** (19:21) — Practical guidelines on when to deploy REST, GraphQL, or gRPC based on specific application architectures.

## Related Moments

- [Evolution of API interfaces toward declarative data fetching](https://www.wearedevelopers.com/videos/1054-graphql-does-it-replace-sql-rest-or-something-else) (from "GraphQL: Does it replace SQL, REST or Something Else?")
- [Evaluating benefits and drawbacks of common API formats](https://www.wearedevelopers.com/videos/1195-the-great-api-debate-rest-graphql-or-grpc) (from "The Great API Debate: REST, GraphQL, or gRPC?")
- [Establishing a concrete vision for REST API development](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) (from "Rest API Antipatterns")
- [Architectural mapping of resources across different API protocols](https://www.wearedevelopers.com/videos/1195-the-great-api-debate-rest-graphql-or-grpc) (from "The Great API Debate: REST, GraphQL, or gRPC?")
- [Modeling resource APIs with REST and OpenAPI](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) (from "REST, GraphQL, gRPC, and more: A comparison of modern API styles")
- [Defining REST APIs and software development anti-patterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) (from "Rest API Antipatterns")

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