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Celery

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280
Kestrel

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58
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0
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Celery vs Kestrel: What are the differences?

Introduction:

In this Markdown document, I will provide the key differences between Celery and Kestrel as Markdown code that can be used on a website.

  1. Concurrency Model: Celery is built on a distributed message passing architecture and follows a task-based concurrency model. It allows for the execution of tasks asynchronously and concurrently. On the other hand, Kestrel is an event-driven, lightweight message broker and follows a publish-subscribe pattern, making it suitable for scenarios where high-performance event processing is required.

  2. Language Support: Celery supports multiple programming languages including Python, Java, and .NET. It provides language-specific libraries and integrations, enabling developers to use Celery with their preferred programming language. In contrast, Kestrel is primarily designed for .NET applications and relies on the Microsoft .NET ecosystem.

  3. Message Queuing System: Celery utilizes a message broker (such as RabbitMQ, Redis, or Kafka) to handle the communication between clients and workers. It allows for task routing, prioritization, and advanced message queue features. On the flip side, Kestrel is a lightweight, in-memory message queue that doesn't depend on an external message broker. It is designed for low-latency scenarios and doesn't offer the same level of advanced message queue features as Celery.

  4. Scalability: Celery is highly scalable and supports distributed task processing across multiple workers and machines. It can handle large workloads and provide efficient load balancing. Kestrel, on the other hand, is more suitable for small to medium-scale applications where high throughput and low latency are critical. It may not scale as seamlessly as Celery for extremely high workloads.

  5. Middleware Support: Celery provides a rich set of middleware options that allow for customization and extensibility of its core functionality. Developers can use middleware for tasks such as authentication, logging, error handling, and more. Kestrel, being a lightweight message queue, doesn't have native support for middleware. However, developers can leverage the middleware capabilities of the underlying ASP.NET Core framework when working with Kestrel in a web application context.

  6. Community and Ecosystem: Celery has a large and active community, providing extensive documentation, tutorials, and support. It offers a wide range of third-party integrations and plugins, making it highly versatile. Kestrel, while growing in popularity, has a relatively smaller community and ecosystem compared to Celery. Developers may find more comprehensive resources and community support for Celery.

In Summary, Celery and Kestrel differ in their concurrency models, language support, message queuing systems, scalability, middleware support, and community and ecosystem size.

Advice on Celery and Kestrel
Needs advice
on
CeleryCelery
and
RabbitMQRabbitMQ

I am just a beginner at these two technologies.

Problem statement: I am getting lakh of users from the sequel server for whom I need to create caches in MongoDB by making different REST API requests.

Here these users can be treated as messages. Each REST API request is a task.

I am confused about whether I should go for RabbitMQ alone or Celery.

If I have to go with RabbitMQ, I prefer to use python with Pika module. But the challenge with Pika is, it is not thread-safe. So I am not finding a way to execute a lakh of API requests in parallel using multiple threads using Pika.

If I have to go with Celery, I don't know how I can achieve better scalability in executing these API requests in parallel.

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Replies (1)
Recommends
on
rqrqRedisRedis

For large amounts of small tasks and caches I have had good luck with Redis and RQ. I have not personally used celery but I am fairly sure it would scale well, and I have not used RabbitMQ for anything besides communication between services. If you prefer python my suggestions should feel comfortable.

Sorry I do not have a more information

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Pros of Celery
Pros of Kestrel
  • 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
    Be the first to leave a pro

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    Cons of Celery
    Cons of Kestrel
    • 4
      Sometimes loses tasks
    • 1
      Depends on broker
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      - 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 Kestrel?

      Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Celery?
      What companies use Kestrel?
      See which teams inside your own company are using Celery or Kestrel.
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      What tools integrate with Celery?
      What tools integrate with Kestrel?
        No integrations found

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