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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Beanstalkd vs RabbitMQ

Beanstalkd vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Beanstalkd
Beanstalkd
Stacks111
Followers161
Votes74

Beanstalkd vs RabbitMQ: What are the differences?

Beanstalkd and RabbitMQ are both popular messaging systems used in software development for managing communication between different components or systems. While they serve a similar purpose, there are several key differences that set them apart.

  1. Ease of use and simplicity: Beanstalkd is known for its simplicity and ease of use. It has a small codebase and a straightforward protocol, making it easy to integrate into applications and understand its behavior. On the other hand, RabbitMQ is a more feature-rich messaging system that offers a wide range of functionalities, including advanced message routing and topic-based subscriptions. However, this also makes RabbitMQ more complex to set up and configure compared to Beanstalkd.

  2. Protocols and interoperability: Beanstalkd uses a simple text-based protocol, which makes it compatible with various programming languages and frameworks. This flexibility allows developers to choose their preferred language for interacting with Beanstalkd. In contrast, RabbitMQ uses the Advanced Message Queuing Protocol (AMQP), which provides a standardized way of interoperating with other messaging systems. This makes RabbitMQ a good choice for scenarios where interoperability with different systems is a requirement.

  3. Message persistence: RabbitMQ provides built-in support for message persistence, allowing messages to be stored on disk even in the event of a server restart or failure. This guarantees message durability, ensuring that no messages are lost. In contrast, Beanstalkd does not have built-in support for message persistence, meaning that if the server goes down, all messages in the queue will be lost. However, Beanstalkd's simplicity allows it to be used as a lightweight, in-memory message queue for applications that don't require message durability.

  4. Message delivery guarantees: RabbitMQ offers different types of message delivery guarantees, including "at least once" and "at most once" delivery semantics. This means that messages can be reliably delivered to consumers, even in the presence of failures. Beanstalkd, on the other hand, provides a "best-effort" message delivery guarantee, where messages can be lost in case of failures or crashes. This difference in delivery guarantees makes RabbitMQ a more suitable choice for applications that require strong reliability and fault-tolerance.

  5. Brokers and scalability: RabbitMQ uses a message broker architecture, where a centralized broker acts as a mediator between producers and consumers. This design allows RabbitMQ to handle high message loads and provides better scalability when compared to Beanstalkd, which does not have a built-in message broker. Beanstalkd operates in a distributed manner, where multiple servers can be connected to form a cluster, but it lacks the centralized message broker architecture provided by RabbitMQ.

  6. Community and ecosystem: RabbitMQ has a large and active community, with a wide range of community plugins and tools available for solving common messaging-related challenges. It also has extensive documentation and community support. In contrast, Beanstalkd has a smaller community and less extensive ecosystem. While Beanstalkd is actively maintained, it may have fewer resources and community-driven improvements compared to RabbitMQ.

In Summary, Beanstalkd and RabbitMQ differ in terms of ease of use, protocols, message persistence, delivery guarantees, scalability, and community support. Developers should choose the messaging system that aligns with their application requirements and development preferences.

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Advice on RabbitMQ, Beanstalkd

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
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

Detailed Comparison

RabbitMQ
RabbitMQ
Beanstalkd
Beanstalkd

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

Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

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
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
111
Followers
18.9K
Followers
161
Votes
558
Votes
74
Pros & Cons
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
Pros
  • 23
    Fast
  • 12
    Does one thing well
  • 12
    Free
  • 9
    Scalability
  • 8
    Simplicity

What are some alternatives to RabbitMQ, Beanstalkd?

Kafka

Kafka

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

Sidekiq

Sidekiq

Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.

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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