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Head-to-head · Workflow Orchestration Software

jBPM vs Google Cloud Workflows

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score jBPM #4 in Workflow Orchestration Software 9.0/10 Open source ✓ 4 of 5 features Visit jBPM

jBPM leads on 1 check, Google Cloud Workflows on 0, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorejBPM · 9.0/10
  • Free planonly Google Cloud Workflows

jBPM scores higher on our rubric for workflow orchestration software: 9.0 against 8.9 out of 10; our editors rank them #4 and #7.

jBPM offers visual workflow builder; Google Cloud Workflows doesn't. On deployment model, jBPM gives you Self-hosted where Google Cloud Workflows offers Cloud.

jBPM is the better fit for java BPMN and rules-based processes. Google Cloud Workflows is the better fit for google Cloud service orchestration.

  • jBPM fits best

    Java BPMN and rules-based processes

  • Google Cloud Workflows fits best

    Google Cloud service orchestration

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Side by side

Feature jBPM 9.0/10 Visit ↗ Google Cloud Workflows 8.9/10 Visit ↗
At a glance
Editor score 9.0 8.9
Ranking #4 in Workflow Orchestration Software #7 in Workflow Orchestration Software
Best for Java BPMN and rules-based processes Google Cloud service orchestration
Pricing model Free Free plan + paid
Starting price Open source $0.01/unit/mo
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Self-hosted, Browser extension Cloud
Platforms Web Web
Support Community, Docs Docs
Integrations 7 integrations 16 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features jBPM 4/5 · Google Cloud Workflows 4/5
Visual workflow builder ✓ (best) —
Event triggers ✓ ✓
Automatic retries ✓ ✓
Execution observability ✓ ✓
Human approvals Not checked yet ✓ (best)
Specs
Deployment model Self-hosted Cloud
Our review
Pros
  • BPMN 2.0 modeling with web and IDE-based graphical modelers
  • Persistent long-running processes with migration and monitoring
  • Rules, retries, events, and OpenTelemetry tracing in one engine
  • Ordered steps, branching, parallel execution, retries, and callbacks
  • Eventarc triggers plus connectors for major Google Cloud products
  • Step-level execution history, Cloud Logging, and Cloud Monitoring metrics
Cons
  • Self-hosted deployment requires teams to operate the platform
  • Designed for Java applications rather than standalone hosted SaaS
  • Current Apache KIE delivery places jBPM inside Kogito
  • Cloud-only deployment limits portability across environments
  • Google Cloud-centric integrations may not suit multi-cloud teams
  • YAML or JSON authoring lacks a visual workflow builder
Our verdict

jBPM is an open-source workflow engine for developers building domain-specific business applications and process services in Java. It models and executes BPMN 2.0 processes, with graphical modelers available through web and IDE-based…

Read the review →

Google Cloud Workflows is a fully managed orchestration service for defining and executing sequences across Google Cloud services, custom services, and HTTP APIs. It suits teams coordinating serverless applications, automated processes, IT…

Read the review →
  1. jBPMWorkflow Orchestration Software 9.0Open source
  2. Google Cloud WorkflowsWorkflow Orchestration Software 8.9Free plan

Strengths and trade-offs

  • jBPM — where it wins

    • BPMN 2.0 modeling with web and IDE-based graphical modelers
    • Persistent long-running processes with migration and monitoring
    • Rules, retries, events, and OpenTelemetry tracing in one engine

    Where it doesn't

    • Self-hosted deployment requires teams to operate the platform
    • Designed for Java applications rather than standalone hosted SaaS
    • Current Apache KIE delivery places jBPM inside Kogito
  • Google Cloud Workflows — where it wins

    • Ordered steps, branching, parallel execution, retries, and callbacks
    • Eventarc triggers plus connectors for major Google Cloud products
    • Step-level execution history, Cloud Logging, and Cloud Monitoring metrics

    Where it doesn't

    • Cloud-only deployment limits portability across environments
    • Google Cloud-centric integrations may not suit multi-cloud teams
    • YAML or JSON authoring lacks a visual workflow builder

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update