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Automation Integration · head to head

Hatchet vs Momen

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
Momen logo

Momen

No-Code

Full-stack web app builder with its own Postgres database and a GraphQL API over your tables

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.; Momen there is no source code export and no self-hosting, so if the vendor changes direction or pricing, migration means rebuilding the application from scratch against exported data.
  • They diverge on capability: Hatchet covers Postgres-backed queue, Momen covers Built-in Postgres database.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Momen actually diverge.

Attributes where Hatchet and Momen differ
AttributeHatchetMomen
Pricing modelPer month by task run countquote
PlatformsLinux, Docker, Kubernetes, CloudWeb
CategoryAutomation IntegrationNo-Code

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

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 Momen

  • Built-in Postgres database
  • GraphQL API over your data
  • Row-level access rules
  • Authentication
  • Payments and subscriptions
  • Server-side actions
  • Responsive web output
  • Hosting and custom domains

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

Momen

  • Building a two-sided marketplace where the data model and permissions matter more than the visual designnot Hatchet
  • Shipping a subscription product with billing included rather than wiring payments into a separate buildernot Hatchet
  • Teams that want database, authentication, API and hosting on one bill instead of four vendorsnot Hatchet
  • Founders who can think in tables and relations but cannot write application codenot 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.

Momen

  • There is no source code export and no self-hosting, so if the vendor changes direction or pricing, migration means rebuilding the application from scratch against exported data.
  • It is a young platform with a small team, so the template library, the pool of community answers and the third-party integration marketplace are all thin next to Bubble or WeWeb.
  • The learning curve is real, because you are exposed to schemas, relations, queries and access rules, which stops it serving the audience that spreadsheet-backed builders serve.
  • Mobile applications are web output rather than native builds, so anything needing real device capability or an app store listing is a wrapper rather than a native app.
  • Support and documentation come from the vendor rather than a large user base, so an unusual problem escalates to the same small team everyone else is waiting on.

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

Momen

Free
  • Momen$undefined/month
    • Free tier for building and testing
    • Paid tiers add custom domains, higher resource limits and removal of platform branding
    • Priced by plan tier and resource usage rather than per end user

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 Momen if

  • You need built-in postgres database.
  • You want to start without paying.
  • You also want graphql api over your data.
Momen review

Questions people ask

Is Hatchet or Momen better?
Neither clearly leads. Hatchet starts at Free and Momen at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Momen?
Hatchet starts at Free and Momen at Free.
Does Hatchet or Momen run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Momen runs on Web.
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 Momen is typically brought in for.
What can Hatchet do that Momen cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Momen covers Built-in Postgres database, GraphQL API over your data, Row-level access rules, Authentication.

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.

Momen: Do I need a separate backend?

No. The database, authentication, API and payments are part of the platform, which is the main difference from builders that expect you to bring Supabase or Airtable.

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.

Momen: Can I get my data out?

Yes. The Postgres data exports and is reachable over a GraphQL API. The application itself is not exportable.

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.

Momen: Can I self-host it?

No. It runs on vendor infrastructure only, so a data residency requirement rules it out.

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.

Momen: Is it suitable for a non-technical founder?

Only one willing to learn data modelling. If you want to point at a spreadsheet and get an application, this is the wrong end of the category.

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