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 found the following features very useful: DAG - Workload management and orchestration of tasks using."
"The product is stable."
"The product integrates well with other pipelines and solutions."
"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."
"This is a simple tool to automate using Python."
"The solution is flexible for all programming languages for all frameworks."
"The tool is user-friendly."
"Designing processes and workflows is easier, and it assists in coordinating all of the different processes."
"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 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."
"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."
"I have some issues with the solution's communication."
"Adding more automated components in Apache Airflow for basic things like exporting the data would be helpful."
"The problem with Apache Airflow is that it is an open-source tool. You have to build it into a Kubernetes container, which is not easy to maintain, and I find it to be very clunky."
"Apache Airflow could be improved with the addition of more frameworks."
"There is an area for improvement in onboarding new people. They should make it simple for newcomers. Else, we have to put a senior engineer to operate it."
"We need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed."
"Programmatically, it's very good, and it doesn't have any competitors, but you cannot develop anything in Airflow UI. You need to develop everything within the program. In the market, other tools have come up recently as competitors to Airflow, and they also give graphical programming options, whereas Airflow doesn't provide that feature currently. All the DAGs you want to build need to be coded in Python."
"I would like to see it more friendly for other use cases."
"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 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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