![]() Your choice of orchestrator has a huge impact on how fast you can develop your data pipelines and how much of your time you spend fixing them. While you're here, we’d love for you to join Dagster’s community by starring it on GitHub and joining our Slack. We’ll also discuss Dagster’s Airflow integration, which allows you to build pipelines in Dagster even when you’re already using Airflow heavily. In this post, we’ll dig into each of these areas in greater detail, as well as differences in data-passing, event-driven execution, and backfills. Airflow makes it awkward to isolate dependencies and provision infrastructure.
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