Apache Airflow vs Mage
On the evidence we track, Apache Airflow leads this comparison with a composite score of 69/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Apache Airflow
LeaderApache Airflow is a workflow orchestration platform that enables users to define data pipelines in Python and schedule their execution across distributed workers. It provides a web interface for visualization and monitoring, plus extensive integrations with cloud platforms and services.
Mage
A platform combining AI orchestration, data validation, and automated issue resolution to manage and optimize production data workflows.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Mage
From $29/month (Starter). Free 7-day trial, no credit card required.
- Starter$29/month + $0.50 per CPU-hour. Includes 50 AI credits/month.
- Managed orchestration
- Alerts
- Monitoring
- Team$100/month. Includes 250 shared AI credits/month.
- Advanced controls
- Lineage
- Deployment workflows
- EnterpriseContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Slack
- Salesforce
- MySQL
- Kubernetes
- Apache Spark
Apache Airflow
Leader- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Databricks
- Snowflake
- dbt Cloud
- Tableau
- PostgreSQL
- MongoDB
- Redis
- Docker
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- GitHub
- OpenAI
- Anthropic
- Cohere
- Pinecone
- Weaviate
- +32 more
Mage
- PySpark
- Kafka
- Stripe
- BigQuery
- AWS EMR
- EHR systems
- Billing platforms
- Lab systems
- Clinical systems
- dbt
Apache Airflow or Mage: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.