G2

Rajesh K.

Senior Cloud Software Engineer

Mid-Market (51-1000 emp.)

4/28/2026

"Scalable Workflows with Apache Airflow, Best data Engineering tool for Orchestrator,Easy Deployment"

4.5/5

What do you like best about Apache Airflow?

It is easiy to deploy with docker. Provide secure authentication. A better UI in airlfow3.x. There. is many method, operator, hooks are added. easily to add dependecy. A better workflow monitoring tool. Easily schedule , activate and deactivate jobs. Good performance when used in any cloud platform like aws in serverless mode. easily scaleable. Easy to integrate third part library. Apache airflow is free of cost but you need to pay compute cost if you are using any cloud. A wide support community Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

When I create a task in expansion mode, it doesn’t display the graphical flow properly. I also noticed there’s too much logging. And when setting it up on AWS MWAA in a private VPC, it requires additional configuration. Review collected by and hosted on G2.com.

What problems is Apache Airflow solving and how is that benefiting you?

I have thousands of jobs that I need to monitor daily. In the past, we created a custom Python script, but later we found Airflow and started using it. Now, in one place, we can monitor all running jobs along with their status, and we can easily notify the developer or the respective person to check any alerts. It also helps me provide a better orchestration flow. Review collected by and hosted on G2.com.