Web UI and transparency, It has been the most preferred tool to automate Jobs or Workflows Review collected by and hosted on G2.com.

After run of every job we may face some errors and to check the logs we don't have keyword search filter. Review collected by and hosted on G2.com.

It is an open-source tool that provides users to schedule a task and automate the process. It provides the option to run jobs individually without using debug mode. It is easy to use and fun. Moreover, it is easy to understand. Review collected by and hosted on G2.com.

UI glitches sometimes. Apart from that, modifying a deployed pipeline is complex. Therefore, usually, users need to create a new pipeline instead of making changes to the existing one. Review collected by and hosted on G2.com.

Ease of creating dags, communication b/w tasks, retries, multiple connectors etc Review collected by and hosted on G2.com.

Inhouse setup fo airflow can be tedeious, also not knowing why tasks are in scheduled state Review collected by and hosted on G2.com.

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.