We performed a comparison between Apache Airflow and IBM Business Automation Workflow 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 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."
"Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes."
"The best feature is the customization."
"The tool is user-friendly."
"The most valuable feature of Apache Airflow is creating and scheduling jobs. Additionally, the reattempt at failed jobs is useful."
"We're running it on a virtual server, which we can easily upgrade if needed."
"Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion."
"Since Apache works very well on Python, we can manage everything and create pipelines there."
"Its interface is well-designed and user-friendly"
"The workflow of BAW's automation is handled inside of BPM, so we can see what state it is at and how things are processing through."
"It is the only product that includes capture content management and a process suite, as well as rules in RPA."
"IBM Business Automation Workflow is useful for helping us design custom user interfaces and processes we require."
"The business process modeling is the most valuable feature."
"It performs the basic tasks that are required for the BBM solution as part of the overall integration with ECM or enterprise contact management."
"The solution's most valuable aspect is the fact it is highly configurable. We can do configurations very easily."
"It has integrated UI and deployment models, and it has a deep set of consultant and service provider ecosystem features."
"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."
"The dashboards could be enhanced."
"Apache Airflow should have better integration with cloud platforms."
"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."
"We have faced scenarios where Apache Airflow becomes non-responsive, leading to job failures. To resolve such situations, we had to manually reboot Apache Airflow since it doesn't provide an option to restart within the application. This necessitated modifying some configurations to initiate a restart of all Apache Airflow components. Although Apache Airflow is generally dependable, it may occasionally encounter glitches that can disrupt production flows and batches."
"I have some issues with the solution's communication."
"The documentation must be improved."
"The graphical user interface can be improved."
"Sometimes, we feel like we are not getting the full features of the content management capabilities."
"The setup and installation process could be made easier."
"Requires a lot of customization code writing which could be reduced."
"In terms of improvement, it could be less complex."
"The SCADA Systems are very sophisticated and have a hard time integrating with our older scales. The technical support in regards to the partner side needs some improvement."
"The UI of the solution is not good. They should work to update the solution and make it better and fresher."
"Every client is moving to the cloud. We are still a little behind with IBM, but we are catching up from my point of view."
"Integrating the solution with existing systems can be complicated and it needs careful planning and execution."
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Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while IBM Business Automation Workflow is ranked 13th in Business Process Management (BPM) with 21 reviews. Apache Airflow is rated 8.0, while IBM Business Automation Workflow is rated 7.6. 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 IBM Business Automation Workflow writes "Good for case management, integration capabilities but lacks stability". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, AWS Step Functions and Bizagi, whereas IBM Business Automation Workflow is most compared with IBM BPM, Camunda, AWS Step Functions, IBM Case Foundation and Aurea CX Process. See our Apache Airflow vs. IBM Business Automation Workflow report.
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