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."I like the UI rework, it's much easier."
"Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion."
"The product is stable."
"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."
"One of its most valuable features is the graphical user interface, providing a visual representation of the pipeline status, successes, failures, and informative developer messages."
"The initial setup was straightforward and it does not take long to complete."
"Every feature in Apache Airflow is valuable. The number of operators and features I've used are mainly related to connectivity services and integrated services because I primarily work with GCP."
"Apache Airflow is in Python language, making it easy to use and learn."
"Boomi AtomSphere Flow is very easy to develop and maintain compared to other tools like SAP HANA Cloud Integration or Cloud Platform."
"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."
"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."
"Technical support is an area that needs improvement."
"The dashboards could be enhanced."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"The documentation must be improved."
"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."
"There is a need for more features on experimental evolution steps."
"The solution could be improved by simplifying the integration process."
"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 could improve by being more user-friendly. The whole solution is used through an interface and it could always be improved."
"The solution's user interface building needs improvement."
"Its stability could be improved."
Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while Boomi AtomSphere Flow is ranked 23rd in Business Process Management (BPM) with 4 reviews. Apache Airflow is rated 8.0, 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, IBM Business Automation Workflow and AutomateNOW, 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.
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