Pipeline Orchestration

Easiest Way to Deploy Apache Airflow on Your Data Stack

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What is Apache Airflow?

Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. It is designed to be dynamic, extensible, and scalable, allowing users to easily define and orchestrate complex workflows as directed acyclic graphs (DAGs) of tasks. Airflow is often used in data engineering and machine learning pipelines, and has a large and active community of developers and users.

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Why is Apache Airflow better on Shakudo?

Instant scalability

Shakudo Platform serves Apache Airflow on Kubernetes. Data engineers and developers can unlock increased stability and autoscaling capabilities of a Kubernetes cluster without taking time to setup.

Maintenance free

Every tool your team use on top of the Shakudo platform is connected to be compatible with each other.


You can develop code in Python push it to your git repository and set up your Directed Acryclic Graph (DAGs)

Why is Apache Airflow 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 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.

Use data and AI products inside your infrastructure

Chat with one of our experts to answer your questions about your data stack, data tools you need, and deploying Shakudo on your cloud.
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