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Mage
Mage automates production data pipelines with SQL and Python workflows, data-quality checks, failure recovery, and performance tuning.
About Mage
Mage is a data engineering platform for running production data pipelines. It runs scheduled SQL, Python, and dbt workflows, moves data between databases, warehouses, files, and business applications with built-in or custom connectors, and delivers results to warehouses, dashboards, applications, APIs, storage, and AI agents.
It includes automated data validation, automatic diagnosis and recovery for failed pipelines, and automatic code and execution optimization. A text description can generate a scheduled pipeline with code and tests, and deployment is available in the cloud, private cloud, or on premises with isolated workspaces and role-based permissions.
Key features
- Run scheduled SQL, Python, and dbt workflows together
- Create scheduled pipelines from text descriptions with code and tests
- Automated data validation before dashboards and applications
- Automatic diagnosis and recovery for failed pipelines
- Automatic code and execution optimization for bottlenecks
- Built-in or custom connectors for databases and APIs
Best for: Teams that maintain recurring production data pipelines across databases, warehouses, and business applications.
Good for
- Combines SQL, Python, and dbt in one scheduled workflow
- Provides cloud, private cloud, and on-premises deployment
- Includes isolated workspaces and role-based permissions
Mage at a glance
- Website
- mage.ai
- Category
- Education & Learning › Learn to Code
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Mage FAQ
What code types can Mage run together?
It can schedule and manage SQL, Python, and dbt in one workflow.
How does Mage handle pipeline failures?
It diagnoses failures, applies safe fixes, and recovers automatically.
Where can pipelines be deployed?
Pipelines can run in the cloud, private cloud, or on premises.
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