Pipeline Orchestration

Integrate Apache Airflow with Your Data Stack

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.

End-to-end

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?

Why Shakudo?

Stress-Free infrastructure

Simplify cloud implementation with Shakudo's seamless deployment on your existing provider or our managed infrastructure solution with industry best practices.
integrate

Integrate with everything

Empower your team with the tools they know and love with seamless integration to popular frameworks and tools.

Streamlined Workflow

Streamline production pushes – no DevOps skills needed. Build and launch solutions on the data team-friendly platform with ease.

Ensure Compatibility Across Your Data Stack

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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