


RabbitMQ vs. Kafka: How to choose performance according to different scenarios and provide selection guide
RabbitMQ and Kafka: Performance comparison and selection guide in different scenarios
Overview
RabbitMQ and Kafka are two popular message queues. All have the advantages of high throughput, low latency and reliability. However, they also have their own advantages and disadvantages, and their performance will be different in different scenarios.
Performance comparison
Throughput
RabbitMQ generally has higher throughput than Kafka because it has smaller message size limits and it supports more concurrent connections. In high-throughput scenarios, RabbitMQ is a better choice.
Latency
Kafka typically has lower latency than RabbitMQ because its messages are stored on disk rather than in memory. This allows Kafka to handle larger messages and perform better in high-latency scenarios.
Reliability
Both RabbitMQ and Kafka have high reliability, but Kafka is generally more reliable because it supports data replicas and failover. In high-reliability scenarios, Kafka is a better choice.
Selection Guide
When selecting a message queue, you need to consider the following factors:
- ##Throughput: If high throughput is required , then RabbitMQ is a better choice.
- Latency: If low latency is required, then Kafka is a better choice.
- Reliability: If high reliability is required, then Kafka is a better choice.
- Message size: If you need to handle large messages, then Kafka is a better choice.
- Number of concurrent connections: If you need to support a large number of concurrent connections, then RabbitMQ is a better choice.
- Cost: RabbitMQ is open source, while Kafka is commercial software.
import pika
# 创建连接
connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
# 创建信道
channel = connection.channel()
# 声明队列
channel.queue_declare(queue='hello')
# 发送消息
channel.basic_publish(exchange='', routing_key='hello', body='Hello World!')
# 关闭连接
connection.close()
Copy after login
Kafkaimport pika # 创建连接 connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) # 创建信道 channel = connection.channel() # 声明队列 channel.queue_declare(queue='hello') # 发送消息 channel.basic_publish(exchange='', routing_key='hello', body='Hello World!') # 关闭连接 connection.close()
import kafka
# 创建 Kafka 客户端
client = kafka.KafkaClient("localhost:9092")
# 创建生产者
producer = kafka.SimpleProducer(client)
# 发送消息
producer.send_messages("hello", "Hello World!")
# 关闭客户端
client.close()
Copy after login
ConclusionRabbitMQ and Kafka are both very goodimport kafka # 创建 Kafka 客户端 client = kafka.KafkaClient("localhost:9092") # 创建生产者 producer = kafka.SimpleProducer(client) # 发送消息 producer.send_messages("hello", "Hello World!") # 关闭客户端 client.close()
The above is the detailed content of RabbitMQ vs. Kafka: How to choose performance according to different scenarios and provide selection guide. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











How to build a reliable messaging application with React and RabbitMQ Introduction: Modern applications need to support reliable messaging to achieve features such as real-time updates and data synchronization. React is a popular JavaScript library for building user interfaces, while RabbitMQ is a reliable messaging middleware. This article will introduce how to combine React and RabbitMQ to build a reliable messaging application, and provide specific code examples. RabbitMQ overview:

In the current smartphone market, processors can be said to be one of the focuses of competition for major mobile phone manufacturers. As the "brain" of a mobile phone, the performance of the processor directly affects the mobile phone's running speed, multi-tasking capabilities, and gaming experience. At present, the Kirin 8000 processor, as the equipment of Huawei's flagship mobile phone, has attracted much attention. So, what are the advantages and disadvantages of it compared with the Snapdragon processor? First of all, from a performance perspective, the Kirin 8000 processor is manufactured using the latest TSMC 5nm process. It has more advanced process technology and improved performance.

Comparative analysis of performance of vivoX100 and vivoX100Pro As competition in the smartphone market becomes increasingly fierce, major brands continue to launch new products to meet consumer needs. As a well-known mobile phone brand, vivo has launched many well-received products in recent years, among which vivoX100 and vivoX100Pro are highly anticipated new products. What are the differences between the two mobile phones in terms of appearance design, performance configuration, camera functions, etc.? Today we will compare and analyze vivoX100

Comparative analysis of Apple processor and Snapdragon 8gen2 With the continuous development of mobile smart devices, the processor, as the core component of device performance, has always attracted much attention. Apple and Qualcomm have always been leaders in the field of mobile processors, launching their own processor products, namely Apple processors and Snapdragon processors. Among them, Apple processors are known for their powerful performance and excellent power consumption control, while Qualcomm Snapdragon processors have won the favor of users for their excellent communication technology and versatility. This article will review Apple processors and Snapdragon 8g

Kirin 8000 processor performance comparison: How different is it from the Snapdragon processor? With the continuous development of the smartphone market, mobile phone processors, as one of the core components of mobile phones, have an increasing impact on mobile phone performance. As one of the two mobile phone processor giants, Huawei and Qualcomm, their representative processor products Kirin and Snapdragon series have attracted much attention from consumers. In the latest generation, Huawei launched the Kirin 8000 series of processors, while Qualcomm launched the Snapdragon 888 series of processors. The performance of the two has always attracted much attention. This article will mainly compare

How to choose the right Kafka visualization tool? Comparative analysis of five tools Introduction: Kafka is a high-performance, high-throughput distributed message queue system that is widely used in the field of big data. With the popularity of Kafka, more and more enterprises and developers need a visual tool to easily monitor and manage Kafka clusters. This article will introduce five commonly used Kafka visualization tools and compare their features and functions to help readers choose the tool that suits their needs. 1. KafkaManager

Five options for Kafka visualization tools ApacheKafka is a distributed stream processing platform capable of processing large amounts of real-time data. It is widely used to build real-time data pipelines, message queues, and event-driven applications. Kafka's visualization tools can help users monitor and manage Kafka clusters and better understand Kafka data flows. The following is an introduction to five popular Kafka visualization tools: ConfluentControlCenterConfluent

At the beginning of this year, when Microsoft and Canonical released Windows 10 Bash and Ubuntu user space, I tried to do some preliminary performance tests on Ubuntu on Windows 10 compared to native Ubuntu. This time I published more about the benchmark comparison between native pure Ubuntu and Windows 10. The Linux subsystem test for Windows completed all tests and was released with the Windows 10 Anniversary Update. The default Ubuntu user space is still Ubuntu14.04, but it can be upgraded to 16.04. So the test is first tested on 14.04, and after completion, the system will be upgraded to 16.04
