Apache Airflow Pros and Cons

Orchestration of the jobs is very easy and done with ease along with many options for customisation. Review collected by and hosted on G2.com.

Nothing as such, debugging could be improved to track down the failures. Review collected by and hosted on G2.com.

1. User friendly

2. Ease of deployment

3. Very strong and active community

4. Opensource

5. Plug and play

6. Small learning curve if you know Python Review collected by and hosted on G2.com.

1. Zombie process on Kubernetes are hard to stop Review collected by and hosted on G2.com.

Airflow is a very widely accepted workflow scheduling tool in the industry. It has excellent documentation and support. It is very powerful and flexible (for example, it can be integrated with tableau API even to schedule tableau data source refresh once the pipeline has finished). Review collected by and hosted on G2.com.

One of the greatest challenge is that the learning curve will be a little bit deep, and some of the functions, like when the pipeline will start kicking off can be confusing. Besides, the backfill has to be done mannually. And once you have deployed the pipeline, it is difficult to make changes. Usually you will need to build a new pipeline instead of modifying the old one. Review collected by and hosted on G2.com.

A product which helps me in deploying without much mlops knowledge, easy to use Review collected by and hosted on G2.com.

Need documentation, writeups, blogs and awareness about the product Review collected by and hosted on G2.com.

Open source, you can find operators for almost any tool or service you want to use with it. It is so easy to use and you need just a basic understanding of Python to work with it. Review collected by and hosted on G2.com.

sometimes airflow lags out when updating the status of running or failed tasks. UI glitches out sometimes. Review collected by and hosted on G2.com.

It's very light weight and easy to use tool Review collected by and hosted on G2.com.

Nothing to dislike at the moment we have not dislike anything yet Review collected by and hosted on G2.com.

The best thing about the Airflow is how simple it is to use and best UI experience Review collected by and hosted on G2.com.

As of now I have not felt any bad experiences about the apache airflow Review collected by and hosted on G2.com.

Creation of DAGS are really easy and graphical view of dag gives simple yet pretty picture of the complete flow. Review collected by and hosted on G2.com.

There should be retry option if a job fails. Review collected by and hosted on G2.com.

1. UI 2. Open source 3. Monitoring workflow Review collected by and hosted on G2.com.

None as of now . Only the statsD metrics don't provide task level info. Review collected by and hosted on G2.com.

* Open source

* Integration capabilities

* Run anywhere

* No Cloud Monopoly Review collected by and hosted on G2.com.

* Containerisation problem

* More cloud integration Review collected by and hosted on G2.com.