Mage
mage.ai
What it is
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.
Spec sheet
- Headquarters
- Santa Clara, California, United StatesRead 4 Oct 2026 · mage.ai
Plans and prices
Strong points and limits
Strong points
- Schedules and monitors workflows
- Includes data quality checks
- Provides version control
- Connects to many data sources
- Hybrid deployment available
Limits
- Starter adds $0.50 per CPU-hour
- Team adds $0.50 per CPU-hour
- Web platform only
Who it suits
Mage suits teams building data pipelines that need scheduling, monitoring, quality checks, version control, and varied data integrations.
Verdict
Mage combines workflow operations and broad integrations with free, monthly paid, and enterprise options. CPU-hour charges apply to Starter and Team, while Enterprise pricing is custom.
Where Specifiction places it
- DataOps Platforms#15 of 166.3