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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. RabbitMQ vs Redis

RabbitMQ vs Redis

OverviewDecisionsComparisonAlternatives

Overview

Redis
Redis
Stacks61.9K
Followers46.5K
Votes3.9K
GitHub Stars42
Forks6
RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K

RabbitMQ vs Redis: What are the differences?

Introduction

RabbitMQ and Redis are both popular message brokers or queuing systems that are used to manage and distribute messages between different applications or systems. While they may serve similar purposes, there are key differences between RabbitMQ and Redis that make them suited for different use cases.

  1. Ease of Use: RabbitMQ provides a more feature-rich and sophisticated queuing system, making it suitable for complex message routing and delivery scenarios. On the other hand, Redis is simpler and easier to use, making it ideal for straightforward pub/sub messaging or caching scenarios.

  2. Data Persistence: Redis is primarily an in-memory data store, which means that its data is stored in memory and can be lost in case of a system failure. RabbitMQ, on the other hand, provides options for persistent message storage, allowing messages to be stored on disk and ensuring durability even in the event of a system failure.

  3. Message Delivery Guarantees: RabbitMQ guarantees message delivery using an acknowledgment mechanism. It ensures that messages are delivered to consumers and can handle scenarios like duplicate messages, message order, and consumer failure. Redis, on the other hand, does not provide built-in support for message duplication handling or guarantee message delivery to multiple consumers.

  4. Publish/Subscribe Model: Redis supports a publish/subscribe model, where publishers send messages to channels and subscribers receive those messages from the channels they are subscribed to. RabbitMQ, on the other hand, enables more advanced message exchange patterns like direct exchange, fanout exchange, topic exchange, and headers exchange.

  5. Latency: Redis is known for its low-latency, high-performance capabilities, making it ideal for real-time use cases such as chat systems or high-traffic web applications. RabbitMQ, while being a reliable and performant queuing system, may have higher latency due to its additional features and functionalities.

  6. Ecosystem and Integration: RabbitMQ has a more extensive ecosystem and integration options with various programming languages and frameworks. It provides a wide range of client libraries and plugins, making it easier to integrate with different systems. Redis also has a good ecosystem but is more commonly used for specific use cases like caching or session management.

In Summary, RabbitMQ is a feature-rich and robust queuing system that provides advanced message routing and delivery capabilities, while Redis offers simplicity, high performance, and excellent pub/sub messaging support. Choosing between the two depends on the specific requirements and use cases of the application or system.

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Advice on Redis, RabbitMQ

Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
Comments
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments
André
André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon.NET Core.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k
Comments

Detailed Comparison

Redis
Redis
RabbitMQ
RabbitMQ

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

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

-
Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
Statistics
GitHub Stars
42
GitHub Stars
13.2K
GitHub Forks
6
GitHub Forks
4.0K
Stacks
61.9K
Stacks
21.8K
Followers
46.5K
Followers
18.9K
Votes
3.9K
Votes
558
Pros & Cons
Pros
  • 888
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
Cons
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow

What are some alternatives to Redis, RabbitMQ?

Kafka

Kafka

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

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.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

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.

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