"The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."
"I like the UI rework, it's much easier."
"I found the following features very useful: DAG - Workload management and orchestration of tasks using."
"The initial setup was straightforward and it does not take long to complete."
"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."
"We have been quite satisfied with the stability of the solution."
"The product integrates well with other pipelines and solutions."
"Ability to use all the features that your catalog has inside the modeling and export it to a BPM augmentation engine."
"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."
"The dashboard is connected into the BPM flow that could be improved."
"Technical support is an area that needs improvement."
"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."
"I would like to see it more friendly for other use cases."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"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."
"There is a lot of complexity around licensing."
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.
TAKE CONTROL OF YOUR BPM PROCESSES
BPM processes involve many different stakeholders—managing them is key to your success! With ARIS Process Governance, you’ll have end-to-end control of BPM processes. Establish enterprise-wide policies for BPM and automate governance processes using a model-driven approach.
Automate the administration of your tasks to ensure quality, consistency and control
Keep track of your internal BPM processes, including change management, document control flow, change requests as well as new requirements
Gain extra flexibility with replacement cover and escalation mechanisms
Apache Airflow is ranked 8th in Business Process Management (BPM) with 7 reviews while ARIS Process Governance is ranked 30th in Business Process Management (BPM) with 1 review. Apache Airflow is rated 7.8, while ARIS Process Governance is rated 8.0. 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 ARIS Process Governance writes "Very easy to use and great for modeling business processes ". Apache Airflow is most compared with Camunda Platform, Amazon Step Functions, IBM BPM, IBM Business Automation Workflow and Informatica Cloud Api and App Integration, whereas ARIS Process Governance is most compared with .
See our list of best Business Process Management (BPM) vendors.
We monitor all Business Process Management (BPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.