Amazon SageMaker vs. Apache Airflow
| Product | Rating | Most Used By | Product Summary | Starting Price |
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 Amazon SageMaker | Score8.3 out of 10 | N/A | Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. | N/A |
 Apache Airflow | Score8.6 out of 10 | N/A | Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support. | N/A |
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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| Amazon SageMaker | Apache Airflow | |
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| Likelihood to Recommend | 9.0 | 9.1 |
| Usability | - | 10.0 |