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Automation Integration · head to head

jBPM vs StarRocks

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
StarRocks logo

StarRocks

Databases

Apache 2.0 MPP analytical database built for joins on open table formats

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.; StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • They diverge on capability: jBPM covers BPMN 2.0 execution, StarRocks covers Cost-based optimiser.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which jBPM and StarRocks actually diverge.

Attributes where jBPM and StarRocks differ
AttributejBPMStarRocks
PlatformsLinux, Windows, Docker, KubernetesLinux, Docker, Kubernetes
CategoryAutomation IntegrationDatabases

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 StarRocks

  • Cost-based optimiser
  • Lakehouse query engine
  • Primary key tables
  • Materialised views
  • Shared-data mode
  • MySQL wire protocol

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

StarRocks

  • Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot jBPM
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot jBPM
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot jBPM
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot 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.

StarRocks

  • Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
  • It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
  • Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
  • Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.

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

StarRocks

Free
  • StarRocksFree
    • Apache 2.0 licence
    • Linux Foundation governance
    • No usage or node limits
  • CelerData Cloud$undefined/year
    • Managed StarRocks from the primary contributor
    • BYOC and serverless deployment options
    • Enterprise support and SLAs

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 StarRocks if

  • You need cost-based optimiser.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want lakehouse query engine.
StarRocks review

Questions people ask

Is jBPM or StarRocks better?
Neither clearly leads. jBPM starts at Free and StarRocks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, jBPM or StarRocks?
jBPM starts at Free and StarRocks at Free.
Does jBPM or StarRocks run on more platforms?
jBPM runs on Linux, Windows, Docker, Kubernetes. StarRocks runs on Linux, Docker, Kubernetes.
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 StarRocks is typically brought in for.
What can jBPM do that StarRocks cannot?
jBPM covers BPMN 2.0 execution, Drools integration, Human task service, Kogito compilation. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.

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.

StarRocks: Is StarRocks open source?

Yes, Apache 2.0, governed under the Linux Foundation since 2023.

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.

StarRocks: How does it differ from ClickHouse?

StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.

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.

StarRocks: Who maintains it?

CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.

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.

StarRocks: Can it query Iceberg tables directly?

Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.

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