| Name |
Dagster |
Apache Airflow |
| Description |
A data orchestrator for machine learning, analytics, and ETL. |
Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. |
| Source code |
https://github.com/dagster-io/dagster |
https://github.com/apache/airflow |
| Website |
https://dagster.io/ |
https://airflow.apache.org/ |
| License |
Apache license 2.0 |
Apache license 2.0 |
| Year created |
2019 |
2014 |
| Company |
Dagster |
Airbnb, Apache |
| Use cases |
Data Orchestration, Machine Learning Pipelines |
Workflow scheduling |
| Language support |
python |
python |
| Has cron schedule support |
yes
|
yes
|
| Has event based trigger support |
yes
|
yes
|
| Has api support |
yes
|
yes
|
| Has access controls |
yes
|
yes
|
| Has workflow versioning |
yes
|
no
|
| Has workflow configuration support |
yes
|
yes
|
| Has audit logs |
yes
|
yes
|
| Has cost tracking |
no
|
no
|
| Has data source connection support |
no
|
yes
|
Dagster
Apache Airflow