Comparisons
FastAPI Background Tasks vs Celery: Choosing the Right Background Job Queue
A practical comparison between lightweight in-process BackgroundTasks and distributed Celery/RabbitMQ workers for heavy AI pipelines.
3 min
Decision Matrix: When to Use Which Tool
FastAPI `BackgroundTasks`: Zero dependencies, runs in the same process, jobs are lost if the server restarts (best for: email receipts, audit logs).
Celery + Redis/RabbitMQ: Distributed worker nodes, retry guarantees, scheduled tasks (best for: AI model inference, video encoding, large scraping jobs).