Mage
Open-source data pipeline tool for transforming and integrating data
Mage is an open-source tool for building and running data pipelines that combine the ease of notebooks with engineering best practices. It can be self-hosted to schedule and monitor data workflows.
Key features
- Notebook-style pipeline building
- Built-in scheduling and monitoring
- Data integration connectors
- Modern web UI
Pros & cons
Strengths
- Friendly for data scientists
- Quick to get started
Trade-offs
- Younger than Airflow
Mage replaces
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