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

Hangfire vs NServiceBus

OverviewComparisonAlternatives

Overview

NServiceBus
NServiceBus
Stacks76
Followers132
Votes2
Hangfire
Hangfire
Stacks333
Followers249
Votes17
GitHub Stars9.9K
Forks1.7K

Hangfire vs NServiceBus: What are the differences?

Introduction

This article compares the key differences between Hangfire and NServiceBus, two popular frameworks used in web development.

  1. 1. Architecture: Hangfire is a library that provides a simple way to create, manage, and process background jobs in .NET applications. It focuses on providing a unified API for different job storage systems. On the other hand, NServiceBus is a full-featured, enterprise-grade messaging and integration framework for .NET. It allows developers to build reliable and scalable distributed systems by providing a powerful publish/subscribe mechanism and support for multiple transports.

  2. 2. Focus: Hangfire primarily focuses on background job processing and provides features like automatic retries, scheduling, and monitoring. It is well-suited for tasks like sending emails, generating reports, or performing periodic maintenance. NServiceBus, on the other hand, is designed for building distributed systems and provides features like message routing, durable messaging, and fault tolerance. It is typically used for tasks like event-driven architectures, microservices, and workflow orchestration.

  3. 3. Communication Patterns: Hangfire mainly relies on synchronous communication patterns where the background job is triggered and executed immediately. It does not provide built-in support for message-based communication between different components. NServiceBus, on the other hand, is built around the publish/subscribe pattern and supports different types of message exchanges, including point-to-point, publish/subscribe, and request/reply. It also offers message versioning and error handling mechanisms.

  4. 4. Scalability: Hangfire is limited in terms of scalability as it relies on a static job storage system, which can become a bottleneck when handling a large number of background jobs. While it does provide some options for distributing jobs across multiple servers, it may not be as scalable as NServiceBus. NServiceBus, on the other hand, is designed to handle high-throughput systems and supports distributed message queuing. It can scale horizontally by adding more nodes and can handle large volumes of messages efficiently.

  5. 5. Complexities: Hangfire aims to provide a simple API and abstracts away many of the complexities of background job processing. It can be easily integrated into existing applications and requires minimal configuration. NServiceBus, on the other hand, is a comprehensive messaging framework that comes with its own set of complexities. It requires more configuration and setup, and developers need to understand concepts like message types, handlers, routing, and serialization.

  6. 6. Use Cases: Hangfire is well-suited for scenarios where background job processing is the primary requirement, such as sending notifications, generating reports, or running periodic tasks. It provides a lightweight and easy-to-use solution for such use cases. NServiceBus, on the other hand, is more suitable for building complex distributed systems that require reliable messaging, fault tolerance, and interoperability between different components. It is commonly used in scenarios like event-driven architectures, service-oriented architectures, and microservices.

In summary, Hangfire is a lightweight library for background job processing, while NServiceBus is a comprehensive messaging and integration framework for building distributed systems. Hangfire focuses on simplicity and ease of use, while NServiceBus provides more advanced features for handling messaging, scalability, and fault tolerance. The choice between the two depends on the specific requirements and complexity of the project.

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Detailed Comparison

NServiceBus
NServiceBus
Hangfire
Hangfire

Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

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.

Statistics
GitHub Stars
-
GitHub Stars
9.9K
GitHub Forks
-
GitHub Forks
1.7K
Stacks
76
Stacks
333
Followers
132
Followers
249
Votes
2
Votes
17
Pros & Cons
Pros
  • 1
    Not as good as alternatives, good job security
  • 1
    Brings on-prem issues to the cloud
Pros
  • 7
    Integrated UI dashboard
  • 5
    Simple
  • 3
    Robust
  • 2
    In Memory
  • 0
    Simole

What are some alternatives to NServiceBus, 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.

RabbitMQ

RabbitMQ

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

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.

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