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  1. Stackups
  2. Utilities
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  4. Remote Procedure Call
  5. gRPC vs nanomsg

gRPC vs nanomsg

OverviewComparisonAlternatives

Overview

gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K
nanomsg
nanomsg
Stacks10
Followers29
Votes0

gRPC vs nanomsg: What are the differences?

Introduction

gRPC and nanomsg are both communication frameworks used for building distributed systems. While they have some similarities, there are several key differences that set them apart.

  1. Communication Protocol: The main difference between gRPC and nanomsg lies in their communication protocols. gRPC uses HTTP/2 as its underlying protocol, which offers built-in support for bi-directional communication, request multiplexing, and efficient data serialization. On the other hand, nanomsg utilizes its own lightweight messaging protocol called nanomsg protocol, which is designed for high performance and low latency communication.

  2. Language Support: gRPC supports multiple programming languages including C++, Java, Python, Go, and more. It provides language-specific APIs and code generation tools for seamless integration with different programming languages. In contrast, nanomsg focuses on providing a language-agnostic messaging protocol and is intended to be integrated into applications written in any programming language through its language bindings.

  3. Communication Patterns: gRPC primarily supports the request-response communication pattern, where a client sends a request to a server and waits for a response. It also supports server-side streaming, client-side streaming, and bidirectional streaming. On the other hand, nanomsg supports various messaging patterns such as publish-subscribe, request-reply, push-pull, surveyor-respondent, and more. This makes nanomsg more flexible in terms of communication patterns.

  4. Transport Layer: gRPC uses HTTP/2 as its transport layer, which means it can leverage the existing infrastructure and security mechanisms provided by the HTTP protocol. It can also handle network proxies, load balancing, and flow control. In contrast, nanomsg operates at a lower level and can use various transport protocols such as TCP, IPC, and in-process communication. It provides a lightweight and efficient messaging layer without relying on higher-level protocols.

  5. Service Definition: In gRPC, communication between the client and server is defined using Protocol Buffers, a language-agnostic binary serialization format. The service definition specifies the available remote procedures and their input/output message types. On the other hand, nanomsg does not provide a specific service definition mechanism. Instead, it allows developers to define their own application-specific messaging formats and protocols.

  6. Community and Maturity: gRPC has a larger and more mature community compared to nanomsg. It is backed by Google and has been widely adopted by major tech companies. This means gRPC has a larger ecosystem, better documentation, and more robust support. nanomsg, although it has a smaller community, has its own set of dedicated users and contributors, but the level of support and community resources might be more limited compared to gRPC.

In Summary, gRPC and nanomsg differ in their communication protocols, language support, communication patterns, transport layer, service definition, and community/maturity level.

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Detailed Comparison

gRPC
gRPC
nanomsg
nanomsg

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...

It is a socket library that provides several common communication patterns. It aims to make the networking layer fast, scalable, and easy to use. Implemented in C, it works on a wide range of operating systems with no further dependencies.

Simple service definition;Works across languages and platforms;Start quickly and scale;Works across languages and platforms;Bi-directional streaming and integrated auth
Makes networking layer fast; Works on a wide range of operating systems
Statistics
GitHub Stars
43.9K
GitHub Stars
-
GitHub Forks
11.0K
GitHub Forks
-
Stacks
2.4K
Stacks
10
Followers
1.4K
Followers
29
Votes
64
Votes
0
Pros & Cons
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
No community feedback yet
Integrations
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin
Python
Python
JavaScript
JavaScript
C++
C++
.NET
.NET
Node.js
Node.js
Java
Java
PHP
PHP
Perl
Perl
Ruby
Ruby
Rust
Rust

What are some alternatives to gRPC, nanomsg?

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.

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.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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