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  5. WCF vs gRPC

WCF vs gRPC

OverviewComparisonAlternatives

Overview

WCF
WCF
Stacks125
Followers107
Votes5
gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K

WCF vs gRPC: What are the differences?

# Introduction

Key differences between WCF and gRPC are described below:

1. **Communication Protocol Flexibility**: WCF supports multiple communication protocols like HTTP, TCP, named pipes, and MSMQ, whereas gRPC is built on HTTP/2, which offers better performance with features like multiplexing and server push.
2. **Cross-platform Support**: gRPC has widespread support for multiple platforms and languages such as C++, Java, Go, Python, and more, whereas WCF is mainly focused on the Windows platform and limited to .NET languages.
3. **Serialization Mechanism**: WCF primarily uses XML for serialization, which can be less efficient compared to the binary serialization used by gRPC, resulting in smaller message sizes and lower latency.
4. **Service Definition Structure**: gRPC uses protocol buffers for defining services, messages, and API endpoints in a concise and language-independent way, while WCF relies on larger and more verbose configuration files for service definition.
5. **Performance and Scalability**: gRPC generally outperforms WCF in terms of performance and scalability due to its lightweight architecture, efficient binary serialization, and support for asynchronous streaming, which can lead to faster data transfer and improved resource utilization.
6. **Community Support and Maintenance**: gRPC has a vibrant and active open-source community backing it up, providing regular updates, bug fixes, and enhancements, while WCF, being a legacy technology, has less community support and limited future development.

In Summary, the key differences between WCF and gRPC lie in their communication protocol flexibility, cross-platform support, serialization mechanism, service definition structure, performance, scalability, and community support.

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Detailed Comparison

WCF
WCF
gRPC
gRPC

It is a framework for building service-oriented applications. Using this, you can send data as asynchronous messages from one service endpoint to another. A service endpoint can be part of a continuously available service hosted by IIS, or it can be a service hosted in an application.

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...

-
Simple service definition;Works across languages and platforms;Start quickly and scale;Works across languages and platforms;Bi-directional streaming and integrated auth
Statistics
GitHub Stars
-
GitHub Stars
43.9K
GitHub Forks
-
GitHub Forks
11.0K
Stacks
125
Stacks
2.4K
Followers
107
Followers
1.4K
Votes
5
Votes
64
Pros & Cons
Pros
  • 5
    Classes
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
Integrations
No integrations available
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin

What are some alternatives to WCF, gRPC?

Firebase

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

PubNub

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

SignalR

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.

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