Amazon Managed Workflows for Apache Airflow vs Mage
Amazon Managed Workflows for Apache Airflow
aws.amazon.comMage
mage.aiSide by side
| Figure | Amazon Managed Workflows for Apache Airflow | Mage |
|---|---|---|
| Price from | — | $29/mo |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Plans published | 0 | 3 |
| Spec score · Data Orchestration Software | 5.9 (#12) | 6.1 (#11) |
Plans
Amazon Managed Workflows for Apache Airflow
No plans published.
In their own words
Amazon Managed Workflows for Apache Airflow
Amazon Managed Workflows for Apache Airflow has no write-up on Specifiction yet; its figures are above.
Mage
Mage is a web platform for building and operating data workflows. Its listed functions include workflow scheduling, pipeline monitoring, data quality checks, and version control. Integrations cover Stripe, Salesforce, BigQuery, HubSpot, databases, SaaS APIs, cloud storage, files, and streams. Hybrid deployment is available. Mage has a free plan, while Starter costs $29 a month, billed monthly, plus $0.50 per CPU-hour. Starter includes one developer seat, one development environment, and 50 AI credits per month. Team costs $100 a month, billed monthly, plus $0.50 per CPU-hour; it supports up to 10 developer seats, includes one environment, and provides 250 shared AI credits per month. Mage is headquartered in Santa Clara, California, United States.