6 Open Source Workflow Engines and How to Use Them

This white paper explores six popular open source workflow engines for automating complex IT processes in cloud computing, AI, and microservices.

Key factors for selecting a workflow engine include:
· Application type (human vs. IT-heavy)
· User interface suitability
· Workflow representation (BPMN, YAML, or programming languages)
· Compliance requirements
· Microservices and multi-cloud support
· Cost control

The paper examines six platforms:
· Apache Airflow
· Argo Workflows
· Camunda
· Conductor
· Dagster
· N8N

Each platform offers unique strengths for IT automation challenges, from data pipelines to service provisioning.

Explore this paper to find the best workflow engine for your organization.