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Durable execution platform

Inngest

A durable execution platform for event-triggered, scheduled, and multi-step functions that run on application-owned compute.

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Editorial verdict

Choose Inngest when background work needs durable steps, retries, scheduling, and flow control without the team operating a queue and worker control plane. Prefer a simpler queue or a worker-centric workflow engine when those execution boundaries fit better.12

Best for

  • Web products moving reliable background work out of request paths
  • Multi-step functions that benefit from checkpointed retries and waits
  • Teams that want managed orchestration while retaining application-owned compute
12

Not ideal for

  • Simple fire-and-forget work that a managed queue already handles well
  • Workloads requiring a worker runtime fully controlled by the orchestration platform
  • Teams unwilling to model execution counts, steps, concurrency, payloads, and retention limits
13
Main trade-off

Inngest removes queue and workflow control-plane work, but introduces a coordination dependency, step-oriented execution model, platform limits, and usage economics tied to runs, steps, concurrency, events, and observability.13

Product boundary

Whether managed durable coordination is preferable to operating queues, schedulers, retries, and workflow state directly.

Inngest coordinates durable function runs, state, retries, flow control, and observability; application code still runs on the team's compute and remains subject to its runtime, timeout, data, and deployment constraints.12

For: Application teams running background jobs and multi-step workflows from TypeScript, Python, or Go services

  • The work can be expressed as a simple queue consumer without durable workflow state.
  • Hosting timeouts or network topology conflict with the serve or connect model.
  • Execution and concurrency growth makes another operating model more predictable.

Why teams consider Inngest

  • Durable stepsFunctions can checkpoint work so failures retry from completed steps rather than restarting the entire workflow.1
  • Multiple triggersFunctions can be triggered by events, schedules, or webhooks.1
  • Application-compute modelFunctions can be served from existing application runtimes or connected from long-running workers.2

Pricing

Cloud plans combine included executions with plan limits and metered dimensions such as additional executions, concurrency, users, workers, events, and observability. Self-hosting shifts cost to infrastructure and operations.3

Cloud adoption

Hobby, Pro, or Enterprise

Model the number of function runs, steps per run, concurrency, events, workers, users, and retained telemetry against current plan rules.3

Execution definition
A durable function run plus its steps contributes to execution usage3
Alternative cost boundary
Self-hosting replaces cloud charges with infrastructure and operational ownership3
Pricing checked View official pricing

Inngest vs alternatives

Trigger.dev

Choose when
Evaluate it when its task runtime, deployment, and compute model better match long-running application jobs.
Compared with Inngest
Execution and hosting boundaries differ from Inngest's application-compute coordination model.45

Temporal

Choose when
Choose it when a dedicated workflow platform and worker model are justified by complex, long-lived business processes.
Compared with Inngest
The operational and conceptual footprint is larger.6

Managed queue plus workers

Choose when
Choose it when jobs are simple and explicit queue ownership is acceptable.
Compared with Inngest
The team owns retries, scheduling, idempotency, workflow state, and observability.7

Resources and sources

Official product, architecture, and pricing

  • Inngest functions
    Open
  • Serving Inngest functions
    Open
  • Inngest pricing
    Open

Starter stacks

  1. 1
    Inngest functions

    Inngest · Accessed Official

  2. 2
    Serving Inngest functions

    Inngest · Accessed Official

  3. 3
    Inngest pricing

    Inngest · Accessed Official

  4. 4
    Trigger.dev tasks

    Trigger.dev · Accessed Official

  5. 5
    Trigger.dev pricing

    Trigger.dev · Accessed Official

  6. 6
    Temporal workflows

    Temporal · Accessed Official

  7. 7
    Amazon SQS standard queues

    Amazon Web Services · Accessed Official