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Automation Integration · head to head

Hatchet vs Kogito

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Kogito logo

Kogito

Automation Integration

Cloud-native business automation for Quarkus, now an Apache KIE component

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.; Kogito kogito is a developer framework, not a product, so there is no equivalent of Camunda Operate for business users and any process monitoring interface has to be built or bought separately.
  • They diverge on capability: Hatchet covers Postgres-backed queue, Kogito covers Build-time code generation.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Kogito actually diverge.

Attributes where Hatchet and Kogito differ
AttributeHatchetKogito
Pricing modelPer month by task run countOpen source, no licence fee
PlatformsLinux, Docker, Kubernetes, CloudLinux, Docker, Kubernetes

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 Kogito

  • Build-time code generation
  • Quarkus and Spring Boot support
  • DMN decision services
  • Drools rules engine
  • Serverless workflow
  • Kubernetes operator

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

Kogito

  • A Quarkus microservice that must expose a DMN decision model as a REST endpoint with millisecond start-upnot Hatchet
  • Serverless deployment of business rules where a traditional BPM server would be far too heavynot Hatchet
  • A Red Hat shop that wants the upstream of Red Hat process automation with the option of a supported build laternot Hatchet
  • Replacing hand-coded conditional logic with DMN tables that business analysts can review and amendnot 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.

Kogito

  • Kogito is a developer framework, not a product, so there is no equivalent of Camunda Operate for business users and any process monitoring interface has to be built or bought separately.
  • Long-running stateful processes need external persistence and messaging that you configure and operate yourself, which removes much of the convenience a BPM server normally provides.
  • It sits inside the Apache KIE incubator, and incubating status means graduation is not guaranteed and the project name and artefact coordinates have already changed once.
  • Red Hat is by far the dominant contributor despite ASF stewardship, so the roadmap follows Red Hat product priorities rather than community demand.
  • Documentation is spread across legacy JBoss sites, the old Kogito site and the new Apache KIE site, and search results routinely land on outdated versions, which costs real time during adoption.

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

Kogito

Free
  • KogitoFree
    • Apache 2.0 licence
    • Apache KIE incubating project
    • No usage limits

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 Kogito if

  • You need build-time code generation.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want quarkus and spring boot support.

Questions people ask

Is Hatchet or Kogito better?
Neither clearly leads. Hatchet starts at Free and Kogito at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Kogito?
Hatchet starts at Free and Kogito at Free.
Does Hatchet or Kogito run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Kogito runs on Linux, Docker, Kubernetes.
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 Kogito is typically brought in for.
What can Hatchet do that Kogito cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Kogito covers Build-time code generation, Quarkus and Spring Boot support, DMN decision services, Drools rules engine.

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.

Kogito: Is Kogito still maintained?

Yes. It is an Apache KIE incubating project with active commits, with Red Hat as the dominant contributor.

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.

Kogito: How does it differ from jBPM?

Kogito compiles process and rule definitions into application code at build time; jBPM was a runtime engine that loads definitions.

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.

Kogito: Does it need Quarkus?

It is designed for Quarkus and supports Spring Boot; both are Java frameworks rather than a standalone server.

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.

Kogito: Is there commercial support?

Not from Apache. Red Hat sells supported builds of this lineage as part of its subscriptions.

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