Here’s the difference between Airflow and Dagster. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. Airflow uses workflows made of directed acyclic graphs (DAGs) of tasks.
Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
Overview | ||
---|---|---|
Categories | Workflow Orchestration | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | On PremSaaS |
Business Model | Open Source | Open Source |
Pricing | Not Available | Freemium, Contact Sales |
Location | US | United States |
Companies using it | ||
Contact info |