Pipeline Orchestration

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

No items found.

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.

Read more about Mage

No items found.
No items found.

Use cases for Mage

Personalize Learning Pathways with Adaptive AI Algorithms

See all use cases >

Why is Mage better on Shakudo?

Why is Mage better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

Get a personalized demo

Ready to see Shakudo in action?

Neal Gilmore