Apache Airflow vs Mage
On the evidence we track, Apache Airflow leads this comparison with a composite score of 73/100. 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
LeaderA community-built orchestration system that enables users to define data pipelines and tasks in Python, execute them on distributed workers, and monitor progress through a web-based interface. It supports dynamic pipeline generation, extensive third-party integrations, and operates best for batch-oriented workflows.
Mage
A system for constructing data processing pipelines that validates, schedules, and executes them in production environments. Supports both cloud-managed and self-hosted deployment models.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Apache Airflow
LeaderFree, open-source project. Managed cloud versions available through third parties.
Mage
From $100/month + usage for cloud, custom pricing for private deployments
- Mage Cloud$100/month + usage ($0.50 per cpu-hour, $0.50 per 4GB-hour)
- Workflow orchestration and scheduling
- Pipeline monitoring and observability
- Data validation and quality checks
- Unlimited users
- Development environment included
- Mage ProContact sales
- Hybrid cloud deployment
- Private cloud deployment
- On-premises deployment
- Full data isolation
- Custom infrastructure configuration
- +1 more
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.
- Salesforce
- MySQL
- Kubernetes
- Apache Spark
Apache Airflow
Leader- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Databricks
- Snowflake
- dbt Cloud
- Slack
- Tableau
- PostgreSQL
- MongoDB
- Redis
- Docker
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- GitHub
- OpenAI
- Anthropic
- Cohere
- Pinecone
- +22 more
Mage
- PySpark
- Kafka
- Stripe
- BigQuery
- AWS EMR
- EHR systems
- Billing platforms
- Lab systems
- Clinical systems
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.