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Comparing gRPC vs. REST: Speed, Efficiency, and Flexibility

In this article, we will delve into the differences, advantages, and use cases of gRPC and REST, providing insights into when to choose one over the other.

Comparing gRPC vs. REST: Speed, Efficiency, and Flexibility

In the world of modern web development and API design, two popular communication protocols have emerged: gRPC and REST. Both gRPC and REST are widely used for building distributed systems and facilitating communication between client and server applications. In this article, we will delve into the differences, advantages, and use cases of gRPC and REST, providing insights into when to choose one over the other.

What is gRPC

gRPC, which stands for "Google Remote Procedure Call," is an open-source RPC framework developed by Google. It enables seamless communication between client and server applications, allowing them to invoke methods and exchange structured data. gRPC utilizes the Protocol Buffers (Protobuf) language-agnostic interface definition language to define the services and messages for communication. Therefore, the advantages of gRPC naturally include the advantages of HTTP2:

  • Binary framing for data transmission.
  • Multiplexing for efficient concurrent requests.
  • The server pushes the capability to initiate communication from the server.
  • header compression for reduced overhead.

When comparing gRPC with REST, it's worth noting that gRPC can be compared to the combination of HTTP and RESTful principles, since gRPC encompasses both the transport protocol and the message format. However, a comparison can still be made between the two.

Overview of REST

What is REST? REST (Representational State Transfer) is an architectural style designed to help create and organize distributed systems. It all started in 2000 with Fielding, who was dedicated to developing a unique standardized method for client-server communication.

REST uses the HTTP protocol for communication and is widely used in web applications. REST simply provides guidelines for how backend data is exposed to clients through JSON/XML message formats in a high-level architectural implementation.

APIs use REST guidelines to provide accessible web services. These RESTful APIs offer these web services within resources. Resources represent individual states on the server that can be accessed through a common interface and can be retrieved or manipulated using HTTP verbs: GET, POST, DELETE, and PUT.

Now that we have covered REST, let's talk about RESTful.


RESTful is a style of interface, and what style is that? As the name implies, it's the REST style.

For an interface to be considered RESTful, it needs to meet certain requirements:

  • Client and server operate independently.
  • The interface is stateless, without any distinction of nationality.
  • Interface data can be cached.
  • It enforces constraints on request methods and request paths.

Let me show you some examples of RESTful interface methods and paths:


  • GET: Access a resource in read-only mode.
  • POST: Create a new resource.
  • PUT: Update a given resource.
  • DELETE: Remove or delete a resource.


  • /products (GET): Get all products.
  • /products/:id (GET): Get a specific product specified by its id.
  • /products/:id (DELETE): Delete a specific product.
  • /products/:id (PUT): Edit a specific product.
  • /products (POST): Create a new product.

Comparison: RPC VS REST

In fact, gRPC should be compared with HTTP + RESTful because gRPC encompasses both the transport protocol and the messaging specification. Now, let's compare gRPC and REST across various aspects:

Communication Flexibility: Protobuf and JSON

gRPC and REST have different formats for sending and receiving responses.

REST uses JSON format to receive messages. While it is possible to receive messages in other formats such as XML or raw binary, JSON has become the de facto standard in best practices and tutorials due to its flexibility, efficiency, platform neutrality, and language independence.

gRPC uses Protobuf (Protocol Buffers) message format to send requests and receive responses in a binary format. Both JSON and Protobuf are platform-independent, meaning they can be developed and used without being tied to a specific platform.

When transmitting data between systems, JSON tends to be slower. On the other hand, Protobuf offers faster message delivery as the messages are serialized (encoded) into a binary format before being sent over the network. Serialization is the process of packaging the parameters and remote function into a binary message.

Performance and Efficiency: HTTP/1.1 VS HTTP/2

REST uses HTTP/1.1 for communication, sending requests, and receiving responses. gRPC, on the other hand, utilizes HTTP/2, which is even faster for interprocess communication.

HTTP/1.1 is slower compared to HTTP/2. HTTP/2 was designed to overcome the limitations of HTTP/1.1, making gRPC faster in terms of request response compared to REST.

REST lacks in terms of multiplexing. It loads resources one after another, where one resource has to wait for the previous resource to finish loading. gRPC, using HTTP/2, leverages TCP connections to send multiple data streams that are split into binary-coded messages and numbered, allowing the client to know which binary message belongs to which stream, ensuring no resources are blocked.

Thus, we see that HTTP/1.1 is inefficient for multiple requests.

Through server push and header compression, gRPC with HTTP/2 outperforms REST with HTTP/1.1 in terms of performance. Server push allows HTTP/2 to push content from the server to the client before it is requested, while HTTP/1.1 can only provide content upon request. header compression, which requires HTTP/2, allows unnecessary messages to be removed from the headers using the HPACK compression method.

Communication Patterns: Streaming vs Request/Response:

In REST, we can only perform actions like making requests and receiving responses. This is due to the HTTP/1.1 protocol used for communication, which is limited in various aspects.

On the other hand, as we know, gRPC uses HTTP/2 for communication. With TCP connections, HTTP/2 supports multiple data streams from the server and traditional request-response. With gRPC, we can perform:

  • Client streaming: This involves the client sending a stream of data to the server. The server registers to receive data streams from the client and responds with a single message.
  • Server streaming: The client sends a singular request to the server, and the server opens a streaming connection and sends data streams to the client over time. The client registers an event to listen for when the streams arrive.
  • Bidirectional streaming: This is two-way. Both the server and client can send and receive data streams from each other.

What is gRPC used for?

gRPC is a widely used framework for building efficient and scalable distributed systems. It is often used to develop APIs (Application Programming Interfaces) that facilitate communication between different components of a software system. With gRPC, developers can define service interfaces and use them to generate code for clients and servers in various programming languages.

Apidog is an API management tool that utilizes gRPC for seamless communication between clients and servers. It offers features for generating code in multiple programming languages, designing service interfaces using gRPC's interface definition language (IDL), creating mock servers for testing, managing test cases, and generating automatic API documentation. With Apidog and gRPC, developers can streamline their API development process, improve collaboration, and deliver high-quality APIs.

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