Inngest vs BullMQ (2026)
Managed durable functions or self-hosted Redis queue? Chrome-verified pricing for Inngest vs BullMQ, vendor lock-in risks, and which job queue to pick in 2026.
| Criteria | Inngest | BullMQ |
|---|---|---|
| Trust Score | N/A/10 | N/A/10 |
| Free Tier | 25,000 runs/month | Unlimited (open source) |
| Paid Starts At | $50/month | Free forever (you host Redis) |
| Best For | Durable multi-step workflows | Self-hosted, zero recurring cost |
| Biggest Gotcha | Each step counts as a separate run | Requires Redis infrastructure |
| DX Rating | 8/10 | 7/10 |
TL;DR
Choose Inngest if you need durable multi-step workflows with automatic retries and built-in monitoring. Choose BullMQ if you want a battle-tested, zero-cost job queue and are comfortable managing Redis.
Detailed comparison
| Factor | Inngest | BullMQ |
|---|---|---|
| Type | Managed durable functions | Self-hosted Redis queue |
| Cost | Free up to 25K runs/month, then $50/month | Free forever (MIT license) + Redis hosting |
| Multi-step workflows | Built-in step functions | Manual implementation |
| Automatic retries | Built-in with configurable policies | Manual setup required |
| Monitoring dashboard | Built-in | Taskforce.sh ($15/mo) or Bull Board (free) |
| Vendor lock-in | High (proprietary SDK format) | None (open source, standard Redis) |
| Infrastructure | Fully managed | You manage Redis and workers |
| Concurrency control | Built-in | Built-in |
| Language support | Node.js, Python, Go | Node.js, Python |
When to choose Inngest
- You need durable multi-step workflows (payment processing, onboarding sequences)
- You want built-in monitoring and automatic retries without building infrastructure
- You prefer managed services and don’t want to operate Redis
- Your team values developer experience over infrastructure control
When to choose BullMQ
- You want zero recurring cost for the queue itself
- You already have Redis infrastructure running
- You need simple job processing, not complex multi-step workflows
- You want zero vendor lock-in with an open source, battle-tested solution
- You need full control over retry logic, concurrency, and worker scaling
Get this comparison in your terminal: npx auxiliar · In Claude Code: claude mcp add auxiliar -- npx auxiliar-mcp