Hatchet

Distributed task queue.

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Console’s review

· Reviewed by David Mytton

What we like

Build tasks and workflows in code (currently Python, Go, TS). Each stage of a workflow is independent and can be run durably and retried without losing progress so far. Run your own workers so you control underlying resources, location, and data privacy. Manage concurrency and rate limiting of steps to control resource consumption. Cloud service, but you can also run the control plane yourself.

Tradeoffs

Is Postgres appropriate for a distributed task queue? Seems to be, and it’s likely already part of your stack (or you’re using a managed service).

Is Hatchet a fit?

Based on Console’s review published on 2024-04-25.

Who it’s for

Developers needing a distributed task queue

Why consider it

Allows building tasks and workflows in code

Keep in mind

May have concerns about using Postgres

Console is a free weekly newsletter with short reviews of developer tools, covering strengths and tradeoffs. This review reflects Console’s assessment at publication on 2024-04-25. Features and limitations may have changed since the review date. Read our selection criteria and learn about Console.

Key facts

What it is

Orchestration for background tasks and durable workflows.

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Company or maintainer

hatchet-dev contributors.

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Source and licensing

Free and open source, MIT; paid managed cloud available.

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Tech stack

SDK support
  • Go
  • Python
  • TypeScript
Integrates with
  • Docker
  • Kubernetes
  • PostgreSQL

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Source and notes

Official SDKs support TypeScript, Python and Go; deployment supports Docker and Kubernetes with PostgreSQL.

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Coverage may be incomplete. “Written in” describes implementation, not supported project languages.

Pricing

Cloud pay-as-you-go includes 1 million runs and 1 million events per month, then USD 30/million runs and USD 5/million events. Storage and users above allowances cost extra. Self-hosting is free under MIT; infrastructure costs are separate.

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