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Automation Integration · head to head

Hatchet vs RudderStack

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
RudderStack logo

RudderStack

Automation Integration

The open-source customer data platform

From
Free
Rated
-

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.; RudderStack on the free plan data processing stops after a second consecutive overage rather than being billed, so exceeding 250,000 events twice breaks the pipeline
  • They diverge on capability: Hatchet covers Postgres-backed queue, RudderStack covers Data collection.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and RudderStack actually diverge.

Attributes where Hatchet and RudderStack differ
AttributeHatchetRudderStack
Pricing modelPer month by task run countfreemium
PlatformsLinux, Docker, Kubernetes, CloudWeb, Self-hosted
FoundedUnknown2018

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
  • Rate limiting
  • Cron and scheduling
  • Multi-language SDKs
  • Self-hosting

Only in RudderStack

  • Data collection
  • Event tracking
  • Audience segmentation
  • Warehouse ingestion
  • Real-time sync
  • Data transformation
  • Privacy controls
  • 200+ destinations

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 RudderStack
  • A team that outgrew Celery and wants concurrency keys, fairness and rate limiting without building themnot RudderStack
  • An engineering group that wants durable execution self-hosted with no datastore beyond the Postgres they already runnot RudderStack
  • A multi-tenant SaaS that needs one noisy customer's jobs not to starve everyone else'snot RudderStack

RudderStack

  • Collecting event data from apps and websites and routing it to warehouses and toolsnot Hatchet
  • Building a warehouse first customer data pipelinenot 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.

RudderStack

  • On the free plan data processing stops after a second consecutive overage rather than being billed, so exceeding 250,000 events twice breaks the pipeline
  • The free plan allows 250,000 events a month
  • Growth starts at $265 a month for 1 million events, with volume sold in tiers up to 25 million
  • Overage is charged as the gap to the next tier's price rather than per event, so a small excess costs a full tier step

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

RudderStack

Free
  • FreeFree
    • 250K events per month
    • 16 SDK sources
    • 200+ cloud destinations
  • Growth$265/month
    • 1 million events per month (up to 25 million available)
    • Unlimited team members
    • Tracking plans
  • Enterprise$null/mo
    • 5-minute warehouse sync
    • Unlimited transformations
    • Access to Profiles & Data Apps

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.

Choose RudderStack if

  • You need data collection.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want event tracking.

Questions people ask

Is Hatchet or RudderStack better?
Neither clearly leads. Hatchet starts at Free and RudderStack at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or RudderStack?
Hatchet starts at Free and RudderStack at Free.
Does Hatchet or RudderStack run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. RudderStack runs on Web, Self-hosted.
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 RudderStack is typically brought in for.
What can Hatchet do that RudderStack cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. RudderStack covers Data collection, Event tracking, Audience segmentation, Warehouse ingestion.

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.

RudderStack: What is RudderStack's free plan limit?

RudderStack's free plan includes 250K events per month with 16 SDK sources, 200+ cloud destinations, warehouse destinations, and Reverse ETL at no cost.

Source
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.

RudderStack: How much does RudderStack Growth plan cost?

RudderStack Growth plan costs $265 per month with annual billing discount available, providing 1 million events per month (up to 25 million available), unlimited team members, and 2 workspaces.

Source
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.

RudderStack: What happens if I exceed my RudderStack event limit?

On the free plan, data processing stops after your second consecutive overage. Paid plan customers face overage fees calculated as the difference between the next tier's pricing and their current plan.

Source
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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