Head-to-head · Task Queue Software
BullMQ vs Celery
BullMQ leads on 1 check, Celery on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreBullMQ · 8.8/10
- Free planonly BullMQ
Our editors rank BullMQ at #4 and Celery at #7 for task queue software; Celery has no rubric score yet (facts researched, not yet scored), so the checks below decide.
BullMQ offers free plan; Celery doesn't publish it.
BullMQ is the better fit for production Node.js queue workloads. Celery is the better fit for python teams needing mature distributed tasks.
- BullMQ fits best
Production Node.js queue workloads
- Celery fits best
Python teams needing mature distributed tasks
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Side by side
| Feature | BullMQ 8.8/10 Visit ↗ | Celery —/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | — |
| Ranking | #4 in Task Queue Software | #7 in Task Queue Software |
| Best for | Production Node.js queue workloads | Python teams needing mature distributed tasks |
| Pricing model | Free plan + paid | Free |
| Starting price | $139/mo | Not published |
| Free plan | ✓ (best) | Not published |
| Free trial | — | — |
| Deployment | Self-hosted | Self-hosted |
| Support | Email, Docs | Community, Docs |
| Integrations | 6 integrations | 10 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features BullMQ 3/3 · Celery 3/3 | ||
| Custom retry policy | ✓ | ✓ |
| Scheduled jobs | ✓ | ✓ |
| Dead-letter queue | ✓ | ✓ |
| Specs | ||
| Deployment model | Self_hosted | Self_hosted |
| Maximum payload size | Not published | Not published |
| Official SDK languages | Node.js, Bun, Python, Rust, Elixir, PHP | Python |
| Our review | ||
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| Our verdict | BullMQ is an open-source background-job and message-queue library for distributed job processing. It is designed for production teams building microservices, worker-based applications, and polyglot systems, with official support for… Read the review → |
Celery is an open-source, self-hosted distributed task queue for Python applications. It lets applications submit asynchronous work through a message broker while workers execute tasks across processes or machines. The feature set suits… Read the review → |
Strengths and trade-offs
BullMQ — where it wins
- Retries, scheduling, dead-letter queues, priorities, and dependencies
- Concurrency control and horizontal worker scaling
- Open-source library with Node.js and polyglot support
Where it doesn't
- Runs on Redis-compatible backends
- Standard licensing is limited to organizations under 100 employees
- Commercial pricing is charged per deployment
Celery — where it wins
- Runs tasks across worker processes and machines
- Flexible retries, scheduling, routing, and concurrency options
- Broad broker, backend, database, and search integrations
Where it doesn't
- Official SDK coverage is Python-only
- Teams manage workers, brokers, and result stores themselves
- Dead-letter handling depends on broker configuration
- BullMQ8.8/10 · Free plan · paid from $139/mo
Deep background processing for production Node.js teams that need queue control.
Visit BullMQFull verdict → - Celery—/10 · Open source
A mature self-hosted queue for Python teams that need distributed task control.
Visit CeleryFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026