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Apache Airflow vs Camunda Platform 7

A side-by-side comparison of two self-hosted automation & workflows options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
AP Apache Airflow Programmatically author, schedule and monitor workflows VS CA Camunda Platform 7 Archived BPMN-based workflow and decision automation engine
FeatureApache AirflowCamunda Platform 7
Deploy effortUnder-an-hour setupUnder-an-hour setup
Health score100 · Excellent15 · At risk
StatusActively maintainedArchived
CategoryAutomation & WorkflowsAutomation & Workflows
LicenseApache-2.0Apache-2.0
LanguagePythonJava
Setup difficultyHardHard
Min. RAM4,096 MB1,024 MB
Deploymentdocker, kubernetes, helmdocker, kubernetes, bare-metal
GitHub stars★ 46,957★ 4,269
First released20152013
ReplacesAWS Step Functions, Azure Data FactoryMicrosoft Power Automate, AWS Step Functions

What are Apache Airflow and Camunda Platform 7?

Apache Airflow

Apache Airflow is a platform to author, schedule and monitor workflows as directed acyclic graphs of tasks. It is widely used for data engineering pipelines and complex job orchestration.

  • Workflows defined as Python code
  • Rich scheduling and dependency management
  • Extensive operator and provider ecosystem
  • Web UI for monitoring DAGs

Read the full Apache Airflow guide →

Camunda Platform 7

Camunda Platform 7 is an open-source workflow and decision automation engine based on the BPMN and DMN standards. It executes process models and integrates with Java applications and microservices.

  • Standards-based BPMN execution
  • DMN decision tables
  • Visual process modeler
  • REST API and Java integration

Apache Airflow vs Camunda Platform 7: key differences

The biggest difference is maintenance: Camunda Platform 7's repository is archived and no longer developed, while Apache Airflow is actively maintained. Apache Airflow is written in Python, while Camunda Platform 7 is built with Java. Camunda Platform 7 is the lighter option, starting around 1,024 MB of RAM against 4,096 MB for Apache Airflow. Camunda Platform 7 is the more established project (first released 2013), while Apache Airflow arrived in 2015. Apache Airflow has the considerably larger community, at 46,957 GitHub stars versus 4,269.

Why pick each one

Choose Apache Airflow if…

  • Industry standard for data pipelines
  • Huge ecosystem

Watch out for

  • Heavy to operate
  • Steep learning curve
Apache Airflow details

Choose Camunda Platform 7 if…

  • Strong BPMN standards support
  • Mature ecosystem

Watch out for

  • Newer Camunda 8 is not fully open source
Camunda Platform 7 details

Frequently asked questions

Is Apache Airflow or Camunda Platform 7 better?

Neither is universally better. Apache Airflow has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.

Are Apache Airflow and Camunda Platform 7 free and open-source?

Yes. Apache Airflow is licensed under Apache-2.0 and Camunda Platform 7 under Apache-2.0. Both can be self-hosted at no software cost.

Can I run Apache Airflow and Camunda Platform 7 with Docker?

Apache Airflow: yes. Camunda Platform 7: yes.

Which is lighter on resources, Apache Airflow or Camunda Platform 7?

Camunda Platform 7 has the smaller minimum footprint at 1,024 MB of RAM, compared to about 4,096 MB for Apache Airflow. Real-world usage depends on library size, user count, and enabled features.

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