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Celery

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NServiceBus

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Celery vs NServiceBus: What are the differences?

Introduction:

This Markdown code provides a comparison between Celery and NServiceBus, highlighting key differences between the two.

  1. Scalability: Celery is designed for distributed task processing and is highly scalable, allowing tasks to be distributed across multiple worker processes or machines. NServiceBus, on the other hand, is focused on distributed messaging and can handle high message throughput while ensuring reliable delivery.

  2. Language Support: Celery is primarily designed for Python and supports task distribution and execution in Python applications. In contrast, NServiceBus is language-agnostic and supports multiple programming languages, including .NET, Java, and more, making it suitable for heterogeneous environments.

  3. Transport Mechanism: Celery uses a message broker to send and receive messages between producers and consumers, offering compatibility with various brokers like RabbitMQ, Redis, or Amazon SQS. NServiceBus, on the other hand, utilizes a distributed messaging architecture and supports various messaging technologies and protocols like MSMQ, RabbitMQ, Azure Service Bus, and more.

  4. Workflow Orchestration: Celery focuses primarily on task distribution and asynchronous processing, providing tools for managing task queues and priority levels. NServiceBus, in contrast, includes advanced workflow orchestration capabilities, enabling complex message-driven workflows, routing, and saga patterns for managing long-running business processes.

  5. Ecosystem and Integrations: Celery has a vibrant and active community, providing numerous extensions, plugins, and integrations with other Python libraries and frameworks. NServiceBus offers a similar ecosystem but is primarily focused on integration with Microsoft technologies and frameworks like .NET, Azure, and Service Fabric.

  6. Commercial Support: Celery is primarily an open-source project maintained by a community of contributors, offering community support through forums and documentation. NServiceBus is a commercial product that provides dedicated technical support, professional services, and training through its commercial vendor, Particular Software.

In summary, Celery and NServiceBus differ in their focus on scalability, language support, transport mechanisms, workflow orchestration capabilities, ecosystem and integrations, and commercial support. Celery is more focused on task processing and scalability in Python applications, while NServiceBus offers broader language support, advanced workflow orchestration, and integrates well with Microsoft technologies.

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Pros of Celery
Pros of NServiceBus
  • 99
    Task queue
  • 63
    Python integration
  • 40
    Django integration
  • 30
    Scheduled Task
  • 19
    Publish/subsribe
  • 8
    Various backend broker
  • 6
    Easy to use
  • 5
    Great community
  • 5
    Workflow
  • 4
    Free
  • 1
    Dynamic
  • 1
    Not as good as alternatives, good job security
  • 1
    Brings on-prem issues to the cloud

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Cons of Celery
Cons of NServiceBus
  • 4
    Sometimes loses tasks
  • 1
    Depends on broker
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    - No public GitHub repository available -

    What is 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.

    What is NServiceBus?

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

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    What companies use Celery?
    What companies use NServiceBus?
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    What tools integrate with Celery?
    What tools integrate with NServiceBus?
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