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Automation Integration · head to head

Flowable vs Lightdash

Flowable logo

Flowable

Automation Integration

Apache 2.0 BPMN, CMMN and DMN engine from the team that originally built Activiti

From
Free
Rated
-
Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Rated
-

The short version

  • Each has a real cost: Flowable the open source engine is genuinely usable but ships without the modelling studio, work application and admin console, so an open source deployment means building your own user interfaces before anyone can use it.; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
  • They diverge on capability: Flowable covers BPMN 2.0 engine, Lightdash covers dbt Integration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Flowable and Lightdash actually diverge.

Attributes where Flowable and Lightdash differ
AttributeFlowableLightdash
Pricing modelquoteUnknown
PlatformsLinux, Windows, Docker, Kubernetes, CloudWeb, 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 Flowable

  • BPMN 2.0 engine
  • CMMN case management
  • DMN decision tables
  • Spring Boot integration
  • Modelling studio
  • Task and case application
  • REST APIs
  • History and audit

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.

Flowable

  • An insurer automating claims handling where each case follows a different path and BPMN alone cannot express itnot Lightdash
  • A bank embedding process orchestration inside an existing Spring Boot estate rather than buying a separate platformnot Lightdash
  • A team leaving Activiti or jBPM that wants the same API family with active commercial maintenancenot Lightdash
  • A regulated organisation needing complete process history and decision table audit trails for supervisorsnot Lightdash

Lightdash

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

Where each one falls short

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

Flowable

  • The open source engine is genuinely usable but ships without the modelling studio, work application and admin console, so an open source deployment means building your own user interfaces before anyone can use it.
  • It expects Java engineering capacity; teams looking for a business-user low-code automation tool will find the modelling and deployment cycle far too technical.
  • Enterprise pricing is not published and is quoted per deployment, leaving buyers without a benchmark against Camunda or IBM alternatives.
  • The Activiti fork left three engines with related APIs and overlapping documentation in circulation, and search results routinely return advice for the wrong one.
  • Flowable AG is a small Swiss company relative to its competitors, so the partner network, training market and pool of engineers with production experience are all limited outside Europe.

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

Flowable

Free
  • Flowable Open SourceFree
    • Apache 2.0 licensed BPMN, CMMN and DMN engines
    • Embeddable Java library or standalone apps
    • No modelling studio or enterprise applications
  • Flowable Enterprise$undefined/year
    • Modelling studio, work application and admin console
    • Connectors, forms and advanced identity management
    • Support with SLA and version maintenance

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 Flowable if

  • You need bpmn 2.0 engine.
  • You want to start without paying.
  • You work on Linux, Windows, Docker, Kubernetes, Cloud.
  • You also want cmmn case management.

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.

Questions people ask

Is Flowable or Lightdash better?
Neither clearly leads. Flowable 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, Flowable or Lightdash?
Flowable starts at Free and Lightdash at Free.
Does Flowable or Lightdash run on more platforms?
Flowable runs on Linux, Windows, Docker, Kubernetes, Cloud. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
Can I use Flowable for free?
Both have a free tier, so you can try either at no cost before committing.
What is Flowable best used for?
Flowable is most often used for an insurer automating claims handling where each case follows a different path and bpmn alone cannot express it, a bank embedding process orchestration inside an existing spring boot estate rather than buying a separate platform, a team leaving activiti or jbpm that wants the same api family with active commercial maintenance, a regulated organisation needing complete process history and decision table audit trails for supervisors. Of those, an insurer automating claims handling where each case follows a different path and bpmn alone cannot express it and a bank embedding process orchestration inside an existing spring boot estate rather than buying a separate platform are not what Lightdash is typically brought in for.
What can Flowable do that Lightdash cannot?
Flowable covers BPMN 2.0 engine, CMMN case management, DMN decision tables, Spring Boot integration. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.

Answered from the vendors’ own pages

Flowable: Is Flowable open source?

Yes, the BPMN, CMMN and DMN engines are Apache 2.0. The modelling studio and enterprise applications are commercial.

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
Flowable: How does it relate to Activiti and jBPM?

The same core developers built jBPM, then Activiti, then forked Activiti in 2016 to create Flowable.

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
Flowable: What does Flowable Enterprise cost?

Nothing is published. It is quoted per deployment by the vendor.

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
Flowable: Why choose it over Camunda?

CMMN case management is a first-class engine, which matters when work is exception-driven rather than a fixed sequence.

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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