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title: Apache Airflow vs Dagster - side by side Comparison
description: Apache Airflow and Dagster are open-source platforms used for managing and scheduling data workflows. While they have similar goals, they differ in their...
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# Apache Airflow vs Dagster - side by side Comparison

**[Decube](https://daily.dev/sources/decuberss)** · 5 min read · 1 upvotes · 0 comments

## Summary

Apache Airflow and Dagster are open-source platforms used for managing and scheduling data workflows. While they have similar goals, they differ in their approach and features. Comparing the performance of these two platforms is important because data engineers need to choose the best tool for their specific use case.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.decube.io/post/apache-airflow-vs-dagster-comparison>

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---

Tags: [#apache-airflow](https://daily.dev/tags/apache-airflow), [#dagster](https://daily.dev/tags/dagster), [#data-observability](https://daily.dev/tags/data-observability), [#machine-learning](https://daily.dev/tags/machine-learning), [#performance](https://daily.dev/tags/performance), [#pytorch](https://daily.dev/tags/pytorch), [#tensorflow](https://daily.dev/tags/tensorflow), [#tools](https://daily.dev/tags/tools)

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