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

Hangfire vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Hangfire
Hangfire
Stacks333
Followers249
Votes17
GitHub Stars9.9K
Forks1.7K

Hangfire vs RabbitMQ: What are the differences?

Hangfire and RabbitMQ are both popular tools to enhance performance and manage background tasks. Here are the key differences between them.

  1. Asynchronous vs Message Queuing: Hangfire is primarily used for managing and executing background tasks asynchronously within a web application. It allows developers to easily schedule, enqueue, and execute tasks in the background without blocking the main thread. On the other hand, RabbitMQ is a messaging system that provides robust message queuing capabilities. It enables the exchange of messages between different components or systems, ensuring reliable delivery and processing.

  2. Task Execution Model: Hangfire follows a task execution model where tasks are executed on the same server where the Hangfire server is running. It does not support distributed task execution out of the box. In contrast, RabbitMQ embraces a distributed task execution model. It allows tasks to be processed by multiple workers connected to the RabbitMQ broker, providing better fault tolerance and scalability.

  3. Priority and Dependency Management: Hangfire offers built-in support for prioritizing tasks and managing dependencies between them. Developers can set task priorities to ensure high-priority tasks are executed first. They can also specify dependencies between tasks, ensuring that a task is executed only when its dependent tasks are completed. RabbitMQ, on the other hand, focuses on message-based communication and does not provide native support for task priorities or dependencies. Developers need to implement custom logic to handle such scenarios.

  4. Persistence and Monitoring: Hangfire uses a relational database as its primary data storage mechanism, allowing task state persistence across server restarts. It also provides a dashboard that gives real-time visibility into task execution, showing details like execution status, duration, and retry attempts. RabbitMQ, being a message queue, stores messages temporarily until they are delivered to a recipient. However, it does not provide built-in persistence or a monitoring dashboard like Hangfire.

  5. Ease of Use: Hangfire offers a simple and developer-friendly API that makes it easy to integrate into an existing application. It provides methods and abstractions for enqueueing tasks, scheduling them, and managing their execution. RabbitMQ, on the other hand, involves a more complex setup and configuration. It requires the installation and deployment of a RabbitMQ broker, defining queues, exchanges, and bindings, and using the appropriate RabbitMQ client libraries for communication.

  6. Messaging Patterns: Hangfire primarily focuses on background task processing and scheduling. It provides features like recurring tasks and delayed tasks, making it suitable for scenarios that require periodic or time-based job execution. RabbitMQ, on the other hand, supports various messaging patterns like publish-subscribe, request-reply, and message routing. It enables developers to build complex distributed systems by leveraging these messaging patterns.

In summary, Hangfire is more suitable for managing background tasks within a web application. RabbitMQ excels in building distributed systems with reliable message-based communication.

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Advice on RabbitMQ, Hangfire

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
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
mediafinger
mediafinger

Feb 13, 2019

ReviewonKafkaKafkaRabbitMQRabbitMQ

The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

159k views159k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
Hangfire
Hangfire

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

It is an open-source framework that helps you to create, process and manage your background jobs, i.e. operations you don't want to put in your request processing pipeline. It supports all kind of background tasks – short-running and long-running, CPU intensive and I/O intensive, one shot and recurrent.

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
9.9K
GitHub Forks
4.0K
GitHub Forks
1.7K
Stacks
21.8K
Stacks
333
Followers
18.9K
Followers
249
Votes
558
Votes
17
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
  • 7
    Integrated UI dashboard
  • 5
    Simple
  • 3
    Robust
  • 2
    In Memory
  • 0
    Simole

What are some alternatives to RabbitMQ, Hangfire?

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.

Beanstalkd

Beanstalkd

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.

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.

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