Pipeline Orchestration

What is Mage, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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What is Mage?

Mage is an open-source data pipeline tool designed to transform and integrate data effortlessly. It offers the ability to build both real-time and batch pipelines using Python, SQL, and R, and manage thousands of pipelines without difficulty. With features like easy Docker or Terraform implementation, intuitive UI for data visualization, and modular code practices, Mage simplifies the development experience. It can be quickly deployed to various cloud platforms, making scaling and observability straightforward.

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Use cases for Mage

Personalize Learning Pathways with Adaptive AI Algorithms

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Why is Mage better on Shakudo?

Why is Mage better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
integrate

Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

See Shakudo in Action

Neal Gilmore
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