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Automation Integration · head to head

Hatchet vs mParticle

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
mParticle logo

mParticle

Automation Integration

The customer data platform for multi-channel marketing

From
$500/month
Rated
-
Full reviewWebsite

The short version

  • Only Hatchet has a free tier, so it costs nothing to try first.
  • 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.; mParticle no pricing is published at any level, and the page offers only a pricing request or a sales conversation
  • They diverge on capability: Hatchet covers Postgres-backed queue, mParticle covers Data collection.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and mParticle actually diverge.

Attributes where Hatchet and mParticle differ
AttributeHatchetmParticle
Starting priceFree$500/month
Pricing modelPer month by task run countusage-based
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, CloudWeb, Mobile
FoundedUnknown2013

Identical on both: 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 mParticle

  • Data collection
  • Audience building
  • Segmentation
  • Data governance
  • Real-time sync
  • Privacy management
  • Analytics
  • 100+ integrations

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

mParticle

  • Collecting customer event data once and routing it to many destinationsnot Hatchet
  • Building a customer data platform across web, mobile and server sourcesnot 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.

mParticle

  • No pricing is published at any level, and the page offers only a pricing request or a sales conversation
  • No free tier, minimum commitment or cost driver is stated anywhere on the pricing page

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

mParticle

$500/month
  • Starter$500/month
    • Basic features
    • Email support
  • Professional$1500/month
    • Advanced features
    • Priority support
  • Enterprise$5000/month
    • Custom solutions
    • Dedicated support

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 mParticle if

  • You need data collection.
  • You work on Web, Mobile.
  • You also want audience building.
mParticle review

Questions people ask

Is Hatchet or mParticle better?
Neither clearly leads. Hatchet starts at Free and mParticle at $500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or mParticle?
Hatchet has a free tier; the other does not. Paid plans start at Free for Hatchet and $500/month for mParticle.
Does Hatchet or mParticle run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. mParticle runs on Web, Mobile.
Can I use Hatchet for free?
Yes. Hatchet has a free tier, so you can try it without paying. mParticle starts at $500/month.
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 mParticle is typically brought in for.
What can Hatchet do that mParticle cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. mParticle covers Data collection, Audience building, Segmentation, Data governance.

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.

mParticle: How much does mParticle cost?

mParticle does not publish pricing on its website. The pricing page directs customers to request a quote or contact the sales team through their contact forms.

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.

mParticle: What is mParticle's pricing model?

mParticle uses a quote-based pricing model. Interested customers can request pricing information through the contact form, but specific rates and billing options are not publicly disclosed.

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.

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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