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Automation Integration · head to head

jBPM vs Mage AI

jBPM logo

jBPM

Automation Integration

Long-running Java BPMN engine, now developed inside Apache KIE with commercial support from IBM

From
Free
Rated
-
Full reviewWebsite
Mage AI logo

Mage AI

Automation Integration

Data pipeline platform with AI-generated workflows and governance

From
$100/month
Rated
-
Full reviewWebsite

The short version

  • Only jBPM has a free tier, so it costs nothing to try first.
  • Each has a real cost: jBPM the project moved to the Apache Software Foundation as Apache KIE and is still in incubation, which is a weaker governance signal than a vendor-owned product and a harder case to make to an architecture board.; Mage AI usage-based pricing lacks transparency for cost forecasting
  • They diverge on capability: jBPM covers BPMN 2.0 execution, Mage AI covers AI-generated workflows.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which jBPM and Mage AI actually diverge.

Attributes where jBPM and Mage AI differ
AttributejBPMMage AI
Starting priceFree$100/month
Pricing modelOpen source, no licence feeUsage-based cloud platform
Free tierYesNo
PlatformsLinux, Windows, Docker, KubernetesCloud, Hybrid, Private Cloud, On-Premises

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 jBPM

  • BPMN 2.0 execution
  • Drools integration
  • Human task service
  • Kogito compilation
  • Process designer
  • Timers and signals
  • REST and Java APIs
  • Case management

Only in Mage AI

  • AI-generated workflows
  • Pipeline building
  • Data validation
  • Workflow orchestration
  • Automatic recovery
  • Reusable components
  • Governance controls

What people use each for

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

jBPM

  • A Java organisation already running jBPM 7 that needs to decide between the Apache KIE line, Kogito or migration awaynot Mage AI
  • A team that wants BPMN processes and Drools business rules executing in one runtime without integrating two productsnot Mage AI
  • A government or banking system with long-running processes needing durable timers and full audit history at no licence costnot Mage AI
  • A Quarkus estate adopting Kogito to run compiled processes with container-appropriate startup timesnot Mage AI

Mage AI

  • Building and orchestrating data pipelines with visual interfacenot jBPM
  • Automating ETL workflows with AI assistancenot jBPM
  • Validating data quality across transformationsnot jBPM
  • Distributing transformed data to multiple destinationsnot jBPM

Where each one falls short

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

jBPM

  • The project moved to the Apache Software Foundation as Apache KIE and is still in incubation, which is a weaker governance signal than a vendor-owned product and a harder case to make to an architecture board.
  • The classic jBPM 7.x line has not had a Red Hat-sponsored release since 2023, so staying on it means running effectively frozen software while the development happens under a different name.
  • Kogito is architecturally different from the classic runtime, using ahead-of-time compilation, so moving forward is a migration project rather than a version upgrade.
  • Commercial support has shifted to IBM Business Automation Manager Open Editions, which means renegotiating with a different vendor under different terms than Red Hat customers signed.
  • The tooling and workbench have long been the weakest part, and organisations routinely build their own process administration interfaces because the shipped ones are dated.

Mage AI

  • Usage-based pricing lacks transparency for cost forecasting
  • Limited standalone pricing details on website
  • Requires contact for enterprise deployment options
  • Smaller ecosystem compared to established competitors
  • May require significant customization for complex data models

Pricing, plan by plan

jBPM

Free
  • jBPMFree
    • Apache 2.0 licence with no usage restrictions
    • Full BPMN engine, human tasks and Drools integration
    • Community support via Apache KIE mailing lists

Mage AI

$100/month
  • Cloud$100/month
    • 1 development environment
    • Unlimited users
    • Usage-based infrastructure pricing
  • Hybrid Cloud$null/custom
    • Private data processing
    • Custom infrastructure
    • Contact sales
  • Private Cloud$null/custom
    • Complete isolation
    • Full infrastructure control
    • Contact sales
  • On-Premises$null/custom
    • Full local control
    • Enterprise deployment
    • Contact sales

Which should you pick?

Choose jBPM if

  • You need bpmn 2.0 execution.
  • You want to start without paying.
  • You work on Linux, Windows, Docker, Kubernetes.
  • You also want drools integration.
jBPM review

Choose Mage AI if

  • You need ai-generated workflows.
  • You work on Cloud, Hybrid, Private Cloud, On-Premises.
  • You also want pipeline building.
Mage AI review

Questions people ask

Is jBPM or Mage AI better?
Neither clearly leads. jBPM starts at Free and Mage AI at $100/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, jBPM or Mage AI?
jBPM has a free tier; the other does not. Paid plans start at Free for jBPM and $100/month for Mage AI.
Does jBPM or Mage AI run on more platforms?
jBPM runs on Linux, Windows, Docker, Kubernetes. Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises.
Can I use jBPM for free?
Yes. jBPM has a free tier, so you can try it without paying. Mage AI starts at $100/month.
What is jBPM best used for?
jBPM is most often used for a java organisation already running jbpm 7 that needs to decide between the apache kie line, kogito or migration away, a team that wants bpmn processes and drools business rules executing in one runtime without integrating two products, a government or banking system with long-running processes needing durable timers and full audit history at no licence cost, a quarkus estate adopting kogito to run compiled processes with container-appropriate startup times. Of those, a java organisation already running jbpm 7 that needs to decide between the apache kie line, kogito or migration away and a team that wants bpmn processes and drools business rules executing in one runtime without integrating two products are not what Mage AI is typically brought in for.
What can jBPM do that Mage AI cannot?
jBPM covers BPMN 2.0 execution, Drools integration, Human task service, Kogito compilation. Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration.

Answered from the vendors’ own pages

jBPM: Is jBPM dead?

No. Development continues as part of Apache KIE, with releases through 2025, but the Red Hat-sponsored 7.x line has been static since 2023.

Mage AI: What is the starting price for Mage Cloud?

Cloud plan starts at $100/month for one development environment with unlimited users, plus usage-based compute charges.

Source
jBPM: Who provides commercial support?

IBM, through Business Automation Manager Open Editions, following the transition away from Red Hat Process Automation Manager as a growth product.

Mage AI: How is compute usage billed on Mage?

CPU is charged at $0.50 per hour and RAM at $0.50 per 4GB per hour of utilization.

Source
jBPM: What is Kogito?

The cloud-native successor that compiles processes ahead of time for Quarkus and Spring Boot, architecturally different from the classic jBPM runtime.

jBPM: Does it cost anything?

No. It is Apache 2.0 licensed with no fee. Costs are support contracts and the engineering effort to run it.

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