Mage
Build, orchestrate, and monitor production data pipelines with editable SQL and Python. Turn raw data into trusted context for analytics, automation, and AI agents.
Mage is an open-source alternative to:
Mage AI helps data teams build, orchestrate, monitor, and repair production data pipelines with editable SQL and Python for analytics, applications, and AI.
Key Features
- Editable Workflows: Build and modify pipelines with SQL and Python code.
- Automated Monitoring: Track pipeline health, detect failures, and trigger repairs automatically.
- AI-Powered Development: Generate workflows and reusable business logic with AI assistance.
- Data Standardization: Clean, validate, and unify messy data across workflows.
- Reliable Delivery: Ensure data reaches dashboards, products, APIs, and agents consistently.
- Governance & Control: Maintain visibility, permissions, approvals, and auditability.
- Multi-Deployment Options: Run in the cloud or self-hosted for full infrastructure control.
Tech / Self-Hosting
Mage AI supports both cloud and self-hosted deployments. The self-hosted version runs in your infrastructure, providing full control over data and compliance. The platform is designed for scalability, reliability, and ease of integration with existing data stacks.