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Automation Integration · head to head

Hatchet vs Tray.io

Hatchet logo

Hatchet

Automation Integration

Postgres-backed distributed task queue and workflow engine for Python, TypeScript and Go

From
Free
Rated
-
Full reviewWebsite
Tray.io logo

Tray.io

Automation Integration

The intelligent integration platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Hatchet postgres as the queue backend simplifies operations but sets a throughput ceiling, and very high task rates require database tuning or partitioning work that a purpose-built queue would not demand.; Tray.io now rebranded Tray.ai; pricing page names three tiers, Pro (3 workspaces, 7 day insights), Team (20 workspaces, 30 day insights) and Enterprise (unlimited workspaces, 180 day insights, SSO, HIPAA), but publishes no figures and requires a demo or sales call for a quote
  • They diverge on capability: Hatchet covers Postgres-backed queue, Tray.io covers Low-code workflow builder.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Tray.io actually diverge.

Attributes where Hatchet and Tray.io differ
AttributeHatchetTray.io
Pricing modelPer month by task run countsubscription
PlatformsLinux, Docker, Kubernetes, CloudWeb, Api
FoundedUnknown2015

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Automation Integration).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Hatchet

  • Postgres-backed queue
  • Durable execution
  • DAG workflows
  • Concurrency and fairness
  • Cron and scheduling
  • Multi-language SDKs
  • Self-hosting

Only in Tray.io

  • Low-code workflow builder
  • API integrations
  • Webhooks
  • Conditional logic
  • Error handling
  • Data transformation
  • Authentication
  • 500+ connectors

Both cover

  • Rate limiting

What people use each for

The jobs each tool is most often brought in to do.

Hatchet

  • An AI product running long agent pipelines that must survive worker restarts and resume mid-workflownot Tray.io
  • A team that outgrew Celery and wants concurrency keys, fairness and rate limiting without building themnot Tray.io
  • An engineering group that wants durable execution self-hosted with no datastore beyond the Postgres they already runnot Tray.io
  • A multi-tenant SaaS that needs one noisy customer's jobs not to starve everyone else'snot Tray.io

Tray.io

  • Workflow Automationnot Hatchet
  • Data Integrationnot Hatchet
  • Process Automationnot Hatchet
  • App Integrationnot Hatchet
  • API Connectivitynot Hatchet

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Hatchet

  • Postgres as the queue backend simplifies operations but sets a throughput ceiling, and very high task rates require database tuning or partitioning work that a purpose-built queue would not demand.
  • Data retention on the managed tiers is three days on Team and seven on Scale, which is short for debugging intermittent failures and forces you to export run history elsewhere.
  • The step from the free tier to Team is 500 US dollars a month plus usage, which is a large increment for a small team that simply needs a production SLA.
  • Hatchet is a young company in a category with Temporal, Inngest and cloud-native alternatives already established, so ecosystem, hiring pool and third-party material are all thin.
  • Self-hosting the MIT engine is realistic but you then run the engine, its Postgres and its workers yourself, and the managed features such as audit logs and support are not part of that.

Tray.io

  • Now rebranded Tray.ai; pricing page names three tiers, Pro (3 workspaces, 7 day insights), Team (20 workspaces, 30 day insights) and Enterprise (unlimited workspaces, 180 day insights, SSO, HIPAA), but publishes no figures and requires a demo or sales call for a quote

Pricing, plan by plan

Hatchet

Free
  • DeveloperFree
    • First 100,000 task runs included
    • $10 per million task runs after
    • No card required
  • Team$500/month
    • Usage billed on top of the base fee
    • 10 users and 5 tenants
    • 3 day data retention
  • Scale$1000/month
    • Unlimited users and tenants
    • 7 day data retention
    • Audit logs
  • Enterprise$undefined/year
    • 300 million plus runs a month
    • Latency guarantees and custom SLAs
    • SSO and audit logging

Tray.io

Free
  • Starter$50/month
    • 20 workflows
    • 50 integrations
    • Community support
  • Professional$150/month
    • Unlimited workflows
    • 500+ integrations
    • Email support
  • Enterprise$500/month
    • Custom workflows
    • Dedicated support
    • Advanced security

Which should you pick?

Choose Hatchet if

  • You need postgres-backed queue.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Cloud.
  • You also want durable execution.
Hatchet review

Choose Tray.io if

  • You need low-code workflow builder.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want api integrations.
Tray.io review

Questions people ask

Is Hatchet or Tray.io better?
Neither clearly leads. Hatchet starts at Free and Tray.io at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Tray.io?
Hatchet starts at Free and Tray.io at Free.
Does Hatchet or Tray.io run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Tray.io runs on Web, Api.
Can I use Hatchet for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hatchet best used for?
Hatchet is most often used for an ai product running long agent pipelines that must survive worker restarts and resume mid-workflow, a team that outgrew celery and wants concurrency keys, fairness and rate limiting without building them, an engineering group that wants durable execution self-hosted with no datastore beyond the postgres they already run, a multi-tenant saas that needs one noisy customer's jobs not to starve everyone else's. Of those, an ai product running long agent pipelines that must survive worker restarts and resume mid-workflow and a team that outgrew celery and wants concurrency keys, fairness and rate limiting without building them are not what Tray.io is typically brought in for.
What can Hatchet do that Tray.io cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Tray.io covers Low-code workflow builder, API integrations, Webhooks, Conditional logic. Both handle Rate limiting.

Answered from the vendors’ own pages

Hatchet: Is Hatchet open source?

Yes, the engine is MIT licensed and can be self-hosted, with a managed cloud offered alongside.

Hatchet: What does it cost?

Free for the first 100,000 task runs, then 10 US dollars per million. Team is 500 US dollars a month plus usage; Scale is 1,000.

Hatchet: Why Postgres as the queue?

So durable task state lives in a database your team already backs up, replicates and can inspect with SQL, instead of a second system.

Hatchet: How does it compare with Temporal?

Lighter to adopt and operate, with a much smaller ecosystem and a lower throughput ceiling from the Postgres backend.

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