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Celery vs IronMQ: 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, IronMQ is detailed as "Message Queue for any deployment". An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.
Celery and IronMQ can be primarily classified as "Message Queue" tools.
"Task queue" is the top reason why over 84 developers like Celery, while over 10 developers mention "Great Support" as the leading cause for choosing IronMQ.
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.
Udemy, Robinhood, and Sentry are some of the popular companies that use Celery, whereas IronMQ is used by HotelTonight, Coinbase, and Hubble. Celery has a broader approval, being mentioned in 272 company stacks & 77 developers stacks; compared to IronMQ, which is listed in 9 company stacks and 5 developer stacks.
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.
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
Pros of Celery
- Task queue99
- Python integration63
- Django integration40
- Scheduled Task30
- Publish/subsribe19
- Various backend broker8
- Easy to use6
- Great community5
- Workflow5
- Free4
- Dynamic1
Pros of IronMQ
- Great Support12
- Heroku Add-on8
- Push support3
- Delayed delivery upto 7 days3
- Super fast2
- Language agnostic2
- Good analytics/monitoring2
- Ease of configuration2
- GDPR Compliant2
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Cons of Celery
- Sometimes loses tasks4
- Depends on broker1
Cons of IronMQ
- Can't use rabbitmqadmin1
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