Automation Integration · head to head
jBPM vs Rowy

jBPM
Automation Integration
Long-running Java BPMN engine, now developed inside Apache KIE with commercial support from IBM
- From
- Free
- Rated
- -

Rowy
Spreadsheets
Spreadsheet interface for Google Cloud Firestore with cloud functions written in the browser
- From
- Free
- Rated
- -
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.; Rowy every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
- They diverge on capability: jBPM covers BPMN 2.0 execution, Rowy covers Firestore backed grid.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which jBPM and Rowy actually diverge.
Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 Rowy
- Firestore backed grid
- Browser authored cloud functions
- Typed columns
- Runs in your Google Cloud project
- Role based access
- Form view
- Open source
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 Rowy
- A team that wants BPMN processes and Drools business rules executing in one runtime without integrating two productsnot Rowy
- A government or banking system with long-running processes needing durable timers and full audit history at no licence costnot Rowy
- A Quarkus estate adopting Kogito to run compiled processes with container-appropriate startup timesnot Rowy
Rowy
- A Firebase application that needs an internal admin interface without building onenot jBPM
- Operations staff correcting production records in Firestore without developer involvementnot jBPM
- Attaching a small transformation or notification function to a field change without a full deployment pipelinenot jBPM
- A content team populating documents that a mobile application reads directly from Firestorenot 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.
Rowy
- Every Firestore limit is inherited, including the one megabyte per document ceiling and roughly one sustained write per second per document, which surprises users who expect spreadsheet behaviour.
- Firestore has no joins, so linking tables in the grid is a convenience layer rather than a relational feature and reports across collections still need a separate query.
- It is useful only to teams already on Firebase, so choosing it effectively locks the operational tooling to one cloud vendor.
- Query costs are billed by document read, and an unfiltered grid on a large collection can generate a bill that a spreadsheet user has no intuition for.
- Development activity has slowed relative to the broader category, so evaluate current maintenance before making it load bearing for internal operations.
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
Rowy
Free- Open source self hostedFree
- No licence fee
- Deploys into your own Google Cloud project
- You pay Google Cloud for Firestore reads, writes and storage
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.
Choose Rowy if
- You need firestore backed grid.
- You want to start without paying.
- You also want browser authored cloud functions.
Questions people ask
- Is jBPM or Rowy better?
- Neither clearly leads. jBPM starts at Free and Rowy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, jBPM or Rowy?
- jBPM starts at Free and Rowy at Free.
- Does jBPM or Rowy run on more platforms?
- jBPM runs on Linux, Windows, Docker, Kubernetes. Rowy runs on Web.
- 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 Rowy is typically brought in for.
- What can jBPM do that Rowy cannot?
- jBPM covers BPMN 2.0 execution, Drools integration, Human task service, Kogito compilation. Rowy covers Firestore backed grid, Browser authored cloud functions, Typed columns, Runs in your Google Cloud project.
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.
Rowy: Where is my data stored?
In your own Firestore instance inside your own Google Cloud project. Rowy does not hold a copy.
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.
Rowy: What does it cost to run?
No licence fee. You pay Google Cloud for Firestore reads, writes, storage and function invocations, and an open grid on a big collection reads a lot.
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.
Rowy: Can it do joins across collections?
Not really. Firestore does not support joins, and no interface layer can add them.
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.
Rowy: Is there a row limit?
Not from Rowy. The limits that bite are Firestore document size and per document write throughput.
Rowy: Is it suitable if I am not on Firebase?
No. It is specifically a Firestore interface.
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