Migrate from Control-M to Airflow to modernize your workflows
Airflow empowers your teams with application and data workflow orchestration built for cloud computing, distributed systems, and the rapidly evolving technology landscape.
Do these Control-M limitations sound familiar to you?
With roots in supporting mainframe environments, Control-M has limitations such as limited flexibility, high costs, and suboptimal performance which can impact teams moving to more modern application and data architectures.
Suboptimal scalability
With Control-M, heavy investment in capacity planning and infrastructure provisioning is required for large workloads.
High costs
Customers are feeling the impact of Control-M costs, which include not only licensing but also implementation and ongoing maintenance.
Limited extensibility
Teams struggle to support newer services, technologies, and architectures without extensive workarounds and custom scripting.
UI-based challenges
A primarily UI-based interface may not support the fidelity of increasingly sophisticated interactions, and doesn’t align to how developers and infrastructure engineers want to work.
Airflow is application and data workflow orchestration built for an increasingly dynamic technology landscape
Airflow pioneered task and data orchestration as code and was designed to support distributed systems running in the cloud. With Airflow, your teams never have to retrofit a legacy tool to support new business requirements.
Unlimited scalability
Airflow was built on a distributed architecture. Components can be scaled independently, enabling greater flexibility, scalability, and performance in managing and executing workflows.
Pay for what you use
With Airflow on Astro, you pay only for what you use. There are no licensing, implementation, or ongoing maintenance expenses. Or get started with open source Airflow and run in any environment.
Support for everything
With over 1500+ integrations and counting, Airflow offers complete integration with your IT/data stack, ensuring seamless connectivity while future-proofing your investment by accommodating evolving IT/data ecosystems.
Engineering approved
Airflow aligns to the way that developers, data engineers, and infrastructure engineers work, accelerating the development and iteration of application/data workflow automation. For those unfamiliar with Python, Astronomer offers low-code tools.
Trusted by the world's top data and ML teams
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Don’t just take our word for it.
Across the world and across industries, leading organizations use the Astro platform to power their data strategy.
We no longer spend huge chunks of time fixing outages. Our engineering teams can focus on product engineering, and our analytic engineers and data scientists can focus on getting stakeholders the analytics they need.
Nick Wilson
Senior Manager, Platform Team, Autodesk
Using Astro's Apache Airflow® offering on Azure has modernized our data operations. Their best-in-class SLAs, multi-environment deployments, and intuitive dashboards have streamlined our processes, ensuring we can manage our critical pipelines.
Kevin Schmidt
Sr Manager, Data Engineering, Molson Coors Beverage Company
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Jumpstart your data journey with these great resources.
Registry Discover 1500+ integrations that let you tap into Airflow’s ecosystem and accelerate workflow development. 
Docs Everything you need to know about Apache Airflow® and Astro. 
Airflow Certification Discover the power of Astronomer and learn how to create top-notch data pipelines. 