Mage

Mage is a data workflow platform that builds, runs, validates, repairs, and delivers data pipelines for analytics, automation, and agents. It solves the problem of fragmented tools and manual handoffs by providing a unified execution layer from source to action. The platform targets data teams, developers, and operations in mid-market and enterprise companies. It is delivered as a cloud service or self-hosted, with AI-powered features for workflow generation, debugging, and monitoring.

Key features

• AI-generated pipelines from prompts
• AI-powered debugging and repair
• Data validation and testing
• Orchestration with monitoring and alerts
• Reusable data products and blocks
• Version control and Git integration
• Dynamic blocks for auto-scaling
• Data explorer and analytics dashboards
• Connection profiles for integrations
• Self-healing pipelines with AI