RestAPI, GraphQL, and gRPC: Understanding the Differences

Samuel Catalano
The Fresh Writes
Published in
5 min readMay 26, 2023

In the realm of modern web development, there are several popular approaches for building and consuming APIs. REST API, gRPC, and GraphQL are three prominent options, each with its own set of characteristics and use cases. This article aims to provide a comprehensive comparison of these technologies, shedding light on their differences and helping developers choose the most suitable one for their specific requirements.

RestAPI

REST (Representational State Transfer) API is an architectural style that defines a set of principles for building web services. It relies on the HTTP protocol and its verbs (GET, POST, PUT, DELETE) to perform operations on resources. It was defined back in 2000 by Roy Fielding. Key aspects of REST API include:

  • Stateless: REST API does not maintain any server-side state between requests, making it scalable and cacheable.
  • Resource-based: It emphasizes the notion of resources, each identified by a unique URL (Uniform Resource Locator).
  • CRUD operations: REST API commonly uses HTTP verbs to perform CRUD (Create, Read, Update, Delete) operations on resources.
  • JSON/XML: Data is typically exchanged in JSON or XML format, making it human-readable and easily consumable by a wide range of clients.

GraphQL

GraphQL is a query language and runtime that enables clients to request and retrieve data from servers flexibly and efficiently. It provides a single endpoint where clients can specify the exact data they need. It was created by Facebook in 2015. Key aspects of GraphQL include:

  • Declarative data fetching: Clients can precisely specify the structure and shape of the data they require, avoiding over-fetching or under-fetching of information.
  • Efficient network usage: GraphQL minimizes network overhead by fetching only the requested data, reducing the number of round trips required.
  • Strong typing and introspection: GraphQL employs a type system that enables clients to understand the available data and operations through introspection.
  • Real-time capabilities: GraphQL supports subscriptions, allowing clients to receive real-time updates when subscribed data changes.

gRPC

gRPC is a high-performance, open-source framework developed by Google for building remote procedure call (RPC) systems. It employs the Protocol Buffers (protobuf) language-agnostic data serialization format and HTTP/2 for transport. It was developed by Google in 2015. Key features of gRPC include:

  • Efficient and fast: gRPC uses binary serialization, resulting in smaller payloads and faster transmission compared to REST API.
  • Strongly typed contracts: It defines service contracts using Protocol Buffers, enabling efficient communication between clients and servers in various programming languages.
  • Bidirectional streaming: gRPC supports bidirectional streaming, allowing clients and servers to send multiple messages asynchronously.
  • Unary and streaming RPCs: It offers both unary (single request/response) and streaming (multiple requests/responses) RPC patterns.

Conclusion

REST API, gRPC, and GraphQL each have distinct strengths and cater to different use cases. REST API provides simplicity, wide adoption, and compatibility, making it suitable for many scenarios. gRPC, with its high performance and strongly typed contracts, excels in microservices architectures and inter-service communication. GraphQL shines when flexibility, efficient data fetching, and real-time capabilities are crucial. Understanding the differences among these technologies empowers developers to choose the best approach based on their specific project requirements, performance considerations, and ecosystem constraints.

Use RestAPI if you want a simple, flexible and widely supported API style that follows HTTP conventions.

Use GraphQL if you want a flexible, expressive and performant API style that allows clients to request only the data they need.

Use gRPC if you want a fast, efficient and contract-based API style that supports streaming and real-time communication.

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Samuel Catalano
The Fresh Writes

Samuel is a Software Engineer from Brazil with main interests in Java, Spring Boot, Quarkus, Microservices, Docker, Databases, Kubernetes, and Clean Code