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Automation Integration · head to head

Dagster vs jBPM

Dagster logo

Dagster

Automation Integration

Data orchestration platform with asset lineage and AI-native observability

From
Free
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Dagster learning curve steeper than simpler task schedulers; 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.
  • They diverge on capability: Dagster covers Asset-centric orchestration, jBPM covers BPMN 2.0 execution.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dagster and jBPM actually diverge.

Attributes where Dagster and jBPM differ
AttributeDagsterjBPM
Pricing modelFree open-source core plus paid cloud platformOpen source, no licence fee
PlatformsCloud, Self-hostedLinux, Windows, 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 Dagster

  • Asset-centric orchestration
  • Lineage tracking
  • Data quality monitoring
  • Multi-tool integration
  • Branch deployments
  • Dagster+ AI
  • Hybrid deployment

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

What people use each for

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

Dagster

  • Orchestrating multi-stage data transformation pipelinesnot jBPM
  • Tracking data lineage across transformation toolsnot jBPM
  • Monitoring data quality and asset healthnot jBPM
  • Coordinating dbt and Snowflake workflowsnot jBPM

jBPM

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

Where each one falls short

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

Dagster

  • Learning curve steeper than simpler task schedulers
  • Asset-centric model requires redesigning existing task-based pipelines
  • Pricing complex with per-credit costs on top of base fee
  • Open-source version requires self-hosting infrastructure
  • Limited to data workflows; not suitable for general automation

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.

Pricing, plan by plan

Dagster

Free
  • Open SourceFree
    • Self-hosted deployment
    • Full orchestration engine
    • Community support
  • Solo$10/month
    • 1 user and 1 code location
    • Pay-as-you-go credits at $0.040 per credit
    • 1 deployment
  • Starter$100/month
    • Up to 3 users and 5 code locations
    • Better credit rate at $0.035 per credit
    • 1 deployment
  • Pro$null/custom
    • Unlimited code locations and deployments
    • Custom serverless compute pricing
    • Personalized onboarding

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

Which should you pick?

Choose Dagster if

  • You need asset-centric orchestration.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want lineage tracking.
Dagster review

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

Questions people ask

Is Dagster or jBPM better?
Neither clearly leads. Dagster starts at Free and jBPM at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagster or jBPM?
Dagster starts at Free and jBPM at Free.
Does Dagster or jBPM run on more platforms?
Dagster runs on Cloud, Self-hosted. jBPM runs on Linux, Windows, Docker, Kubernetes.
Can I use Dagster for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dagster best used for?
Dagster is most often used for orchestrating multi-stage data transformation pipelines, tracking data lineage across transformation tools, monitoring data quality and asset health, coordinating dbt and snowflake workflows. Of those, orchestrating multi-stage data transformation pipelines and tracking data lineage across transformation tools are not what jBPM is typically brought in for.
What can Dagster do that jBPM cannot?
Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration. jBPM covers BPMN 2.0 execution, Drools integration, Human task service, Kogito compilation.

Answered from the vendors’ own pages

Dagster: What does Solo plan at $10/month include?

Solo includes 1 user, 1 code location, 1 deployment, and serverless compute at $0.010/minute, with 30-day free trial.

Source
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.

Dagster: How are credits calculated on Dagster+?

Each asset materialization and ops execution costs 1 credit. Solo plan charges $0.040 per credit; Starter reduces to $0.035 per credit.

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.

Dagster: Is Dagster open-source available for free?

Yes, Dagster open-source is free and includes the full orchestration engine for self-hosted deployment with community support.

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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