A very nice job scheduler of DAGs that could become even better
June 13, 2022

A very nice job scheduler of DAGs that could become even better

Nic Georgakopoulos | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Apache Airflow

We use apache Airflow in GCP as part of Cloud Composer to run all our ETL jobs.
  • schedule jobs
  • graphing job flow and dependencies and retries
  • Nice UI for visualization
  • Instead of using a Storage bucket as a source, will be nice if the DAGs can be pulled by a private git repo directly
  • Upgrade process could be smoother
  • Triggering ETL jobs based on events
  • running DAGs in a scheduled fashion

Do you think Apache Airflow delivers good value for the price?


Are you happy with Apache Airflow's feature set?


Did Apache Airflow live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Apache Airflow go as expected?


Would you buy Apache Airflow again?


If you are using GCP, you can use Apache Airflow very easily by using Cloud Composer which is the managed service for Airflow. If you need to deploy it yourself, installation and setup could be tricky.

Apache Airflow Feature Ratings

Multi-platform scheduling
Central monitoring
Alerts and notifications
Analysis and visualization
Application integration