Both Inngest and Trigger.dev solve the same core problem: reliable background job execution with retries, scheduling, and observability. But they have meaningfully different architectures, pricing models, and developer experiences. If you're choosing between them for an AI application, this comparison covers the key dimensions.
Architecture Comparison
| Dimension | Inngest | Trigger.dev |
|---|---|---|
| Execution model | HTTP-based: Inngest calls your endpoint | WebSocket-based: your worker connects to Trigger |
| Infrastructure | Fully managed cloud (self-host in beta) | Cloud or fully open-source self-hosted |
| Language support | TypeScript/JavaScript, Python (beta) | TypeScript/JavaScript |
| Step execution | step.run() — re-invokes from start, fast-forwards | io.runTask() — true checkpointing with task cache |
| Local dev | Inngest Dev Server (full dashboard, no account) | Trigger.dev CLI dev command (account required) |
| Scheduling | Cron syntax in function definition | intervalTrigger() or cronTrigger() |
| Fan-out | step.invoke() for parallel durable sub-functions | io.sendEvent() to chain jobs |
Developer Experience
Inngest Strengths
- Zero-config local development — the Dev Server needs no account and auto-discovers your functions
- The `step.*` API is intuitive and fully typed
- Excellent Vercel integration — Inngest treats Vercel deployments as first-class
- waitForEvent() is uniquely powerful for human-in-the-loop workflows
- Native debounce and throttle primitives reduce boilerplate
Trigger.dev Strengths
- WebSocket-based architecture means lower latency for short-lived jobs (no HTTP round-trip per step)
- Fully open-source — self-host with Docker and Postgres/Redis
- More mature TypeScript integration library with broader community adoption
- io.wait() doesn't consume HTTP connections (purely server-side timer)
- Task-level replay — resume from the exact failed step, not re-execute everything
Pricing
| Tier | Inngest | Trigger.dev |
|---|---|---|
| Free | 50k function runs/month, 500 concurrent | 5k job runs/month |
| Pro | $75/month — 5M runs, unlimited concurrency | $50/month — 500k runs |
| Self-host | Available (early access) | Fully supported, MIT license |
| AI cost risk | Low — billed per function run | Low — billed per job run |
When to Choose Inngest
- You're deploying on Vercel and want tight integration
- You need human-in-the-loop workflows with waitForEvent()
- Your team prefers a fully managed service with minimal ops overhead
- You want per-event debouncing and throttling built-in
- You're building event-driven microservices with many small functions
When to Choose Trigger.dev
- Data residency requirements make self-hosting a priority
- You have high job volumes and need predictable cost with self-hosting
- Your jobs are long-running (minutes to hours) and benefit from true checkpointing
- You want to replay from mid-pipeline failures without re-executing previous steps
- You need WebSocket-based connections for lower-latency step execution
Recommendation for AI Applications
For most AI startups deploying on Vercel or Railway, **Inngest** is the faster path to production. The local Dev Server eliminates friction, the `step.*` API maps naturally to LLM chain patterns, and waitForEvent() is genuinely unique. The managed cloud means you're not running infrastructure.
If you're building an enterprise product with data residency requirements, or you're running high job volumes where self-hosting saves significant cost, **Trigger.dev**'s open-source model and true checkpointing make it the better long-term choice.
Start with whichever you can get running locally in under 30 minutes. Both tools are easy to migrate away from — your job logic is plain TypeScript functions. The platform is just the execution harness.