BullMQ vs Inngest
No clear leader: BullMQ (60.9) and Inngest (60.6) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for message queues. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
BullMQ
An open source system for queueing and processing background tasks using Redis as the data store, with support for Node.js, Python, Rust, Elixir, and PHP applications.
Inngest
Provides an execution layer that automatically handles durability, retries, and state management for background jobs, scheduled tasks, and AI workflows through code-based function definitions.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Inngest
Free tier available. Pro from $99/mo + metered usage.
- HobbyFree
- 50k executions
- 5 concurrent executions
- 500 MB span data ingested
- 10K scores
- 500k events ingested
- +6 more
- ProStarting at $99/mo + metered usage
- 1M executions included
- Pay as you go up to 20M
- 100+ concurrent executions
- 5 GB span data ingested
- 50K scores
- +8 more
- EnterpriseContact sales
- Custom executions
- Custom concurrent executions
- Custom span data ingested
- Custom scores
- Custom events ingested
- +5 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
BullMQ
Not documented yet.
Inngest
- Datadog
- Vercel
- OpenAI
- Discord
- Deno
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.