Mage

Self-hosted, notebook-style tool for building, running, and scheduling data pipelines

Webfreemium

Mage is a self-hosted, notebook-style environment for building, running, and scheduling ETL/ELT data pipelines with Python, SQL, or R. It connects to databases, APIs, and cloud storage, supports dbt models, and offers visual debugging with logs and live data previews, aimed at data engineers who want local pipeline development.

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Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

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