Why is Airflow so popular?

Written in Python, Airflow is increasingly popular, especially among developers, due to its focus on configuration as code. Airflow’s proponents consider it to be distributed, scalable, flexible, and well-suited to handle the orchestration of complex business logic.

What is the point of Apache airflow?

Apache Airflow is an open-source tool to programmatically author, schedule, and monitor workflows. It is one of the most robust platforms used by Data Engineers for orchestrating workflows or pipelines. You can easily visualize your data pipelines’ dependencies, progress, logs, code, trigger tasks, and success status.

Is Apache airflow good enough?

From the list of advantages listed above, you can see that, overall, Airflow is a great product for data engineering from the perspective of tying many external systems together. The community put in an amazing amount of work building a wide range of features and connectors.

What companies use Apache airflow?

Companies Currently Using Apache Airflow

Company Name	Website	Sub Level Industry
Samsung Electronics	samsung.com	Medical Devices & Equipment
Capital One	capitalone.com	Banking
Apple	apple.com	General Interconnection Products & Services
LPL Financial	lpl.com	Brokerage

Is Prefect better than airflow?

Prefect, a new entrant to the market, compared to Airflow. It is an open-source project; however, there is a paid cloud version to track your workflows. Prefect still lags all the bells and whistles that come with Airflow. However, it does the job and has a lot of integrations.

How many companies are using airflow?

Who uses Airflow? 264 companies reportedly use Airflow in their tech stacks, including Airbnb, Robinhood, and Slack.

What is Apache Airflow?

Apache Airflow is an open-source scheduler to manage your regular jobs. It is an excellent tool to organize, execute, and monitor your workflows so that they work seamlessly. Apache Airflow solved a lot of problems that the predecessors faced.

Is apiapache airflow a DevOps tool?

Apache Airflow is not a DevOps tool. It is a workflow orchestration tool primarily designed for managing “ETL” jobs in Hadoop environments. It basically will execute commands on the specified platform and also orchestrate data movement. It was never designed to do anything remotely similar to Jenkins or Gitlab.

What are the advantages of using Apache Airflow Dag?

Airflow also provide rich set of command line utilities which can be used to perform complex operations on DAG. Your apache Airflow DAG are easily schedulable than your CRON jobs. So you don’t need to have system administration skills to deal with your workflows. Pretty good na? 🙂

What is Google Cloud Composer Apache Airflow?

Apache Airflow’s latest big boost has come from Google. In May 2018 Google announced Google Cloud Composer, a managed Apache Airflow service that is fully integrated in the Google Cloud platform and has thus become one of the cornerstones for orchestrating managed services in Google Cloud. But what is actually Apache Airflow?