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Apache Airflow vs Digger: Which Should You Choose in 2026?

Choosing between Apache Airflow and Digger comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.

By Toolradar Team · Last updated February 28, 2026 · Methodology

Short on time? Here's the quick answer

We've tested both tools. Here's who should pick what:

Apache Airflow

Workflow orchestration for data engineering pipelines

Best for you if:

  • • You want the higher-rated option (8.6/10 vs 7.0/10)
  • • You need workflow automation features specifically
  • Apache Airflow is a workflow orchestration platform for programmatically authoring and scheduling data pipelines
  • It defines workflows as code using Python DAGs, with built-in monitoring and retry capabilities

Digger

CI/CD orchestrator for Terraform that automates infrastructure as code with invisible integration.

Best for you if:

  • • You want to try before committing
  • • You need automation features specifically
  • Automates Terraform CI/CD workflows, including state management and PR automation.
  • Offers features like parallel execution, PR-level locking, and drift detection.
At a Glance
Apache AirflowApache Airflow
DiggerDigger
Price
PaidFree + Paid
Best For
Workflow AutomationAutomation
Rating
86/10070/100
FeatureApache AirflowDigger
Pricing ModelPaidFreemium
Editorial Score
86
70
Community RatingNo ratings yetNo ratings yet
Total Reviews00
Community Upvotes
0
0
Categories
Workflow AutomationCI/CD
AutomationCI/CD

How Apache Airflow and Digger Compare

Apache Airflow

Workflow orchestration for data engineering pipelines

Paid · 86/100 score

Digger

CI/CD orchestrator for Terraform that automates infrastructure as code with invisible integration.

Free tier available · 70/100 score

Apache Airflow is a workflow automation tool. Digger is in automation.

Who Should Use What?

On a budget?

Digger has a free tier. Apache Airflow is paid only.

Go with: Digger

Want the highest-rated option?

Apache Airflow: 86/100. Digger: 70/100.

Go with: Apache Airflow

Value user reviews?

Neither has user reviews yet.

Go with: Apache Airflow

3 Questions to Help You Decide

1

What's your budget?

Apache Airflow is paid. Digger is freemium. Digger lets you start free.

2

What's your use case?

Apache Airflow is a workflow automation tool. Digger is in automation. Pick the category that matches your needs.

3

How important are ratings?

Apache Airflow scores higher: 86/100 vs 70/100.

Key Takeaways

Apache Airflow

  • Higher score: 86/100 vs 70
  • Our pick for this comparison

Digger

  • Has a free tier
  • Better fit for automation

The Bottom Line

Apache Airflow (86/100) is our pick. Digger has a free tier if you want to test without paying.

Frequently Asked Questions

Is Apache Airflow or Digger better?

Apache Airflow scores 86/100 in our evaluation. Apache Airflow is paid and Digger is freemium.

What are Apache Airflow and Digger used for?

Apache Airflow: Workflow orchestration for data engineering pipelines. Digger: CI/CD orchestrator for Terraform that automates infrastructure as code with invisible integration..

What does Apache Airflow cost vs Digger?

Apache Airflow is a paid tool. Digger is freemium (free tier + paid plans). Visit their websites for detailed pricing.

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