Mage

Mage is an intuitive platform that streamlines the creation, management, and deployment of data pipelines in minutes. It enables teams to integrate and transform data with ease, powered by AI-driven insights and an interactive interface.

Mage is the open source alternative to:

Supermetrics

Mage screenshot

About Mage

Mage empowers users to build, deploy, and run data pipelines using a modular block approach that breaks complex tasks into manageable units. The platform supports batch, streaming, ML, and RAG pipelines while allowing seamless integration of Python, SQL, R, and dbt. With features like instant debugging, best practice recommendations, and continuous deployment, Mage simplifies data engineering and scales to meet demanding workloads.

Key Features

Modular pipeline blocks for reusable and scalable workflows
AI-powered code recommendations and instant debugging
Supports multiple pipeline types including batch, streaming, ML, and RAG
Seamless integration of Python, SQL, R, and dbt
Collaboration workspaces with continuous deployment capabilities

Summary

Mage offers a unified platform where data teams can accelerate pipeline development through an intuitive, modular interface and AI-driven insights. It provides versatile support for various pipeline types and languages, ensuring data engineering tasks are efficient and scalable.

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Created by

Adrian

Mar 9, 2025Updated•1 min read

This content was partially generated using artificial intelligence.

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