Celery聽vs聽CloudAMQP

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Celery

1.3K
1.2K
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CloudAMQP

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Celery vs CloudAMQP: What are the differences?

Developers describe Celery as "Distributed task queue". 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. On the other hand, CloudAMQP is detailed as "RabbitMQ as a Service". Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.

Celery and CloudAMQP can be primarily classified as "Message Queue" tools.

"Task queue" is the primary reason why developers consider Celery over the competitors, whereas "Some of the best customer support you'll ever find" was stated as the key factor in picking CloudAMQP.

Celery is an open source tool with 12.9K GitHub stars and 3.33K GitHub forks. Here's a link to Celery's open source repository on GitHub.

According to the StackShare community, Celery has a broader approval, being mentioned in 272 company stacks & 77 developers stacks; compared to CloudAMQP, which is listed in 12 company stacks and 5 developer stacks.

Advice on Celery and CloudAMQP
Needs advice
on
RabbitMQ
and
Celery

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
Redis
rq

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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Decisions about Celery and CloudAMQP
Mickael Alliel
DevOps Engineer at Rookout | 4 upvotes 路 173.8K views

In addition to being a lot cheaper, Google Cloud Pub/Sub allowed us to not worry about maintaining any more infrastructure that needed.

We moved from a self-hosted RabbitMQ over to CloudAMQP and decided that since we use GCP anyway, why not try their managed PubSub?

It is one of the better decisions that we made, and we can just focus about building more important stuff!

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Pros of Celery
Pros of CloudAMQP
  • 93
    Task queue
  • 59
    Python integration
  • 36
    Django integration
  • 28
    Scheduled Task
  • 18
    Publish/subsribe
  • 6
    Easy to use
  • 6
    Various backend broker
  • 5
    Great community
  • 4
    Free
  • 4
    Workflow
  • 1
    Dynamic
  • 4
    Some of the best customer support you'll ever find
  • 3
    Easy to provision

Sign up to add or upvote prosMake informed product decisions

Cons of Celery
Cons of CloudAMQP
  • 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 CloudAMQP?

    Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.

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

    What companies use Celery?
    What companies use CloudAMQP?
    See which teams inside your own company are using Celery or CloudAMQP.
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    What tools integrate with Celery?
    What tools integrate with CloudAMQP?

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    What are some alternatives to Celery and CloudAMQP?
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    Cucumber
    Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.
    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.
    See all alternatives