How do RQ and Celery compare in terms of performance?

How do RQ and Celery compare in terms of performance?

Both RQ (Redis Queue) and Celery are popular task queues in Python, but they have different performance characteristics. RQ is simpler and often faster for smaller workloads, while Celery is more feature-rich and can handle complex workflows better.

What factors should I consider when choosing between them?

You should consider factors like the complexity of your tasks, the need for scheduling, the size of your workload, and your team's familiarity with each tool.

Can you give me an example of a use case for each?

Sure! RQ is great for simple background jobs like sending emails, while Celery is better suited for complex workflows like data processing pipelines.

Which one is easier to set up?

RQ is generally easier to set up due to its simplicity and minimal configuration requirements. Celery, while powerful, has a steeper learning curve.