"The initial setup was straightforward and it does not take long to complete."
"I found the following features very useful: DAG - Workload management and orchestration of tasks using."
"We have been quite satisfied with the stability of the solution."
"The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot."
"I like the UI rework, it's much easier."
"The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."
"The product integrates well with other pipelines and solutions."
"The interface has a great look and feel, and the functionality is so easy."
"Technical support is an area that needs improvement."
"I would like to see it more friendly for other use cases."
"The dashboard is connected into the BPM flow that could be improved."
"One specific feature that is missing from Airflow is that the steps of your workflow are not pipelined, meaning the stageless steps of any workflow. Not every workflow can be implemented within Airflow."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"The scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not."
"We're currently using version 1.10, but I understand that there's a lot of improvements in version 2. In the earlier version that we're using, we sometimes have problems with maintenance complexity. Actually using Airflow is okay, but maintaining it has been difficult."
"The pricing model is problematic."
Airflow is a platform to programmatically author, schedule and monitor workflows.
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.
When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
Informatica Cloud’s Application Integration solution creates business processes that accelerate business response times, dramatically increase business efficiency and improves user effectiveness - all without writing a single line of code.
Apache Airflow is ranked 8th in Business Process Management (BPM) with 7 reviews while Informatica Cloud Api and App Integration is ranked 25th in Business Process Management (BPM) with 1 review. Apache Airflow is rated 7.8, while Informatica Cloud Api and App Integration is rated 9.0. The top reviewer of Apache Airflow writes "Helps us maintain a clear separation of our functional logic from our operational logic". On the other hand, the top reviewer of Informatica Cloud Api and App Integration writes "Great interface with easy functionality, we can easily create applications and integration processes ". Apache Airflow is most compared with Camunda Platform, Amazon Step Functions, IBM BPM, IBM Business Automation Workflow and Informatica Business Process Manager, whereas Informatica Cloud Api and App Integration is most compared with Mule Anypoint Platform, Appian, AuraQuantic, Infor ION and Pega BPM.
See our list of best Business Process Management (BPM) vendors.
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