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OpenAPI vs gRPC: What are the differences?

Introduction: OpenAPI and gRPC are two popular technologies that are used for building and designing APIs. Despite serving a similar purpose, there are several key differences between the two.

  1. Communication Protocol: OpenAPI is based on HTTP/REST, which uses JSON or XML for data exchange. It relies on standard HTTP methods like GET, POST, PUT, DELETE, etc. On the other hand, gRPC uses the HTTP/2 protocol for communication and utilizes Protocol Buffers for data serialization. It supports both unary and streaming communication methods.

  2. Payload Size: OpenAPI uses textual formats like JSON or XML for data exchange, which can result in larger payload sizes due to the human-readable nature of these formats. gRPC, on the other hand, uses the binary serialization format of Protocol Buffers, which is more compact, resulting in smaller payload sizes. This can lead to improved network efficiency and reduced latency.

  3. Error Handling: OpenAPI handles errors using standard HTTP status codes and error payloads within the response body. Error responses are typically represented in JSON or XML formats. In contrast, gRPC utilizes rich error descriptions with detailed error codes and messages. It also allows for error metadata and additional error information to be included, providing better error handling capabilities.

  4. Transport and Language Support: OpenAPI is transport-agnostic and can be used over any network protocol that supports HTTP/REST, making it widely applicable across different platforms and languages. gRPC, on the other hand, is specific to the HTTP/2 protocol and primarily supports languages that have gRPC libraries or bindings available, such as Java, C++, Python, Go, etc.

  5. Service Definition: OpenAPI defines APIs using a contract-first approach, where the API specification is created first, and the server implementation is generated from the specification. It focuses more on describing the API's structure, endpoints, request/response formats, etc. Conversely, gRPC uses a code-first approach, where the service's interface and message types are defined in a language-specific manner, and the corresponding server and client code is generated based on these definitions.

  6. Streaming Support: OpenAPI primarily supports request-response style communication, where a client sends a request and receives a response. While it is possible to implement streaming using techniques like long polling or WebSocket, it is not natively supported. In contrast, gRPC has built-in support for streaming and provides both server-side streaming and bidirectional streaming, allowing for efficient data transfer in real-time scenarios.

In summary, OpenAPI and gRPC differ in terms of communication protocol, payload size, error handling, transport/language support, service definition approach, and streaming capabilities. These differences make them suitable for different use cases and environments.

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Pros of gRPC
Pros of OpenAPI
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
  • 2
    Garbage
  • 1
    Easy to read the template generated
  • 1
    The most popular api spec
  • 1
    Easy to learn
  • 1
    Supports versioning
  • 1
    Supports authentication
  • 1
    Supports caching

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What is gRPC?

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

What is OpenAPI?

It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service.

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What companies use gRPC?
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What are some alternatives to gRPC and OpenAPI?
GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
REST
An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.
MQTT
It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.
See all alternatives