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Automation Integration · head to head

jBPM vs Lightdash

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
Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Rated
-
Full reviewWebsite

The short version

  • 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.; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
  • They diverge on capability: jBPM covers BPMN 2.0 execution, Lightdash covers dbt Integration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which jBPM and Lightdash actually diverge.

Attributes where jBPM and Lightdash differ
AttributejBPMLightdash
Pricing modelOpen source, no licence feeUnknown
PlatformsLinux, Windows, Docker, KubernetesWeb, Cloud (managed), Self-hosted (on-premise)
CategoryAutomation IntegrationBusiness Intelligence
FoundedUnknown2021

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 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 Lightdash

  • dbt Integration
  • Metrics Layer
  • Dashboards
  • Scheduling
  • Version Control
  • dbt
  • BigQuery
  • Snowflake

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 Lightdash
  • A team that wants BPMN processes and Drools business rules executing in one runtime without integrating two productsnot Lightdash
  • A government or banking system with long-running processes needing durable timers and full audit history at no licence costnot Lightdash
  • A Quarkus estate adopting Kogito to run compiled processes with container-appropriate startup timesnot Lightdash

Lightdash

  • Self-service analyticsnot jBPM
  • Data explorationnot jBPM
  • Ad-hoc reportingnot jBPM
  • Collaborative analysisnot jBPM
  • Embedded analyticsnot 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.

Lightdash

  • Requires existing dbt infrastructure, not suitable for teams without data models
  • Enterprise features and AI agents unavailable in open-source MIT-licensed core

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

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud Managed$undefined/mo
    • Managed hosting
    • Premium features
    • AI agent capabilities

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 Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Cloud (managed), Self-hosted (on-premise).
  • You also want metrics layer.
Lightdash review

Questions people ask

Is jBPM or Lightdash better?
Neither clearly leads. jBPM starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, jBPM or Lightdash?
jBPM starts at Free and Lightdash at Free.
Does jBPM or Lightdash run on more platforms?
jBPM runs on Linux, Windows, Docker, Kubernetes. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
Can I use jBPM for free?
Both have a free tier, so you can try either at no cost before committing.
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 Lightdash is typically brought in for.
What can jBPM do that Lightdash cannot?
jBPM covers BPMN 2.0 execution, Drools integration, Human task service, Kogito compilation. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.

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.

Lightdash: Is Lightdash free?

Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.

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.

Lightdash: How does Lightdash integrate with dbt?

Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.

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.

Lightdash: Does Lightdash support SQL queries?

Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.

Source
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.

Lightdash: What are Lightdash AI agents?

Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.

Source
Lightdash: Can Lightdash be self-hosted?

Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.

Source
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