BullMQ vs Celery
| Feature | BullMQ | Celery |
|---|---|---|
| Category | Embeddable | Embeddable |
| Sub-category | Job Queue | Job Queue |
| Maturity | stable | mature |
| Complexity | intermediate | intermediate |
| Performance tier | medium | medium |
| License | MIT | BSD-3-Clause |
| License type | permissive | permissive |
| Pricing | fully free | fully free |
| GitHub stars | 7.0K | 25.0K |
| Contributors | 100 | 500 |
| Commit frequency | weekly | weekly |
| Plugin ecosystem | none | none |
| Docs quality | good | good |
| Backing org | Taskforce.sh | Celery Project |
| Funding model | community | community |
| Min RAM | 64 MB | 256 MB |
| Min CPU cores | 1 | 1 |
| Scaling pattern | single_node | single_node |
| Self-hostable | Yes | Yes |
| K8s native | No | No |
| Offline capable | No | No |
| Vendor lock-in | none | none |
| Languages | TypeScript | Python |
| API type | SDK | SDK |
| Protocols | HTTP | HTTP |
| Deployment | npm | pip |
| SDK languages | — | — |
| Team size fit | solo, small, medium | solo, small, medium |
| First release | 2019 | 2009 |
| Latest version | — | — |
When to use BullMQ
- ✓ Background email sending queue
- ✓ Scheduled task processing
- ✓ Rate-limited API call processing
- ✓ Worker pipeline for data processing
When to use Celery
- ✓ Python background job processing
- ✓ Scheduled periodic tasks with Celery Beat
- ✓ Distributed task processing across workers
- ✓ Email/notification queue processing
BullMQ anti-patterns
- ✕ Redis required
- ✕ Node.js only
- ✕ Dashboard needs separate package
Celery anti-patterns
- ✕ Redis/RabbitMQ required
- ✕ Debugging distributed tasks is complex
- ✕ Memory leaks possible with long-running workers