Launching Idempotency Keys and Batch Tasks →
Use Case

Effortlessly run background jobs

Hatchet enables you to run background jobs at scale. Hatchet’s engine implements a performant, push-based scheduler which can handle thousands of runs per second across hundreds of workers.

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Feature

Simple and composable

Background tasks are simple functions. Write idiomatic TypeScript, Python, or Go (no DSLs, no YAML). Trigger tasks from anywhere in your application, and compose them into more complex workflows as your system grows.

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Feature

Durable by default

Most background task systems are built on top of a durable messaging layer (like Redis or RabbitMQ), but after tasks complete, they’re purged from the system.

Hatchet is different. The entire queue is durable, which means that every task is preserved on the queue, not just while it’s in-flight.

A traditional queue only keeps in-flight tasks, but purges them after completion or retry exhaustion.

Feature

Observable

Every task run in Hatchet is queryable through an API and a web UI. Each task provides a full execution trace, preserved input and output data, and associated logs.

Every run exposes inputs, outputs, retries, traces, and logs, all from the API and dashboard.

Feature

Horizontally scalable

Hatchet can handle hundreds of simultaneously connected workers, each with hundreds of slots. Hatchet uses a lightweight messaging layer implemented over gRPC. Each slot is virtualized, which means supporting tens of thousands of slots adds very little overhead.

Illustration: a bird’s-eye view of a large fleet of Hatchet workers scaling up and down

Run your background jobs on Hatchet. Stop rebuilding queues and start shipping features.

  • Start for free — no credit card required

  • Processing over 100 million tasks/day on Hatchet Cloud

  • Open-source and self-hostable

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