We performed a comparison between Apache Airflow and Boomi AtomSphere Flow based on real PeerSpot user reviews.
Find out in this report how the two Business Process Management (BPM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The best feature is the customization."
"I like the UI rework, it's much easier."
"We have been quite satisfied with the stability of the solution."
"The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."
"Since Apache works very well on Python, we can manage everything and create pipelines there."
"Designing processes and workflows is easier, and it assists in coordinating all of the different processes."
"This is a simple tool to automate using Python."
"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."
"The solution's most valuable feature is its core integration with Boomi AtomSphere because it's extremely easy to tap into any informational system of a company."
"Boomi AtomSphere Flow is integrated through APIs, it exposes the API and any product can call the APIs in the queue. Additionally, it is secure."
"Boomi AtomSphere Flow is very easy to develop and maintain compared to other tools like SAP HANA Cloud Integration or Cloud Platform."
"In the long run, if you have a good team, solution architect, and an architect from Boomi's side, then it is a good tool from an ROI perspective since it can help save money."
"There is a need for more features on experimental evolution steps."
"The automation capabilities could be improved; a visual workflow designer and a graphical tool to reduce coding would be very helpful. But for now, it's sufficient for our simple workflows."
"Apache Airflow could be improved by integrating some versioning principles."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"Enhancements become necessary when scaling it up from a few thousand workflows to a more extensive scale of five thousand or ten thousand workflows."
"We cannot run real-time jobs in the solution."
"I would like to see some no-code capabilities and drag and drop abilities in Airflow."
"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."
"The development effort with Boomi AtomSphere Flow is more when you compare it with other tools, which is a drawback and an area of improvement."
"The solution's user interface building needs improvement."
"The solution could improve by being more user-friendly. The whole solution is used through an interface and it could always be improved."
"Its stability could be improved."
Apache Airflow is ranked 3rd in Business Process Management (BPM) with 29 reviews while Boomi AtomSphere Flow is ranked 24th in Business Process Management (BPM) with 4 reviews. Apache Airflow is rated 7.8, while Boomi AtomSphere Flow is rated 8.0. The top reviewer of Apache Airflow writes "Enable seamless integration with various connectivity and integrated services, including BigQuery and Python operators ". On the other hand, the top reviewer of Boomi AtomSphere Flow writes "A competent solution for integrating enterprise-grade software". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, AWS Step Functions and Appian, whereas Boomi AtomSphere Flow is most compared with Microsoft Power Apps, Camunda, Pega BPM, Mendix and AWS Step Functions. See our Apache Airflow vs. Boomi AtomSphere Flow report.
See our list of best Business Process Management (BPM) vendors.
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