We performed a comparison between Apache Airflow and Pega BPM 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 most valuable feature of Apache Airflow is creating and scheduling jobs. Additionally, the reattempt at failed jobs is useful."
"Since it's widely adopted by the community, Apache Airflow is a user-friendly solution."
"Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes."
"Apache Airflow is in Python language, making it easy to use and learn."
"Since the solution is programmatic, it allows users to define pipelines in code rather than drag and drop."
"The solution is flexible for all programming languages for all frameworks."
"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 product is stable."
"I have a lot of experience in this kind of industry, and Pega is one of the best solutions in terms of performance, capabilities, and the way we develop."
"The most valuable feature is flexibility, as we can configure it to best suit our requirements."
"Pega BPM offers a lot of out-of-the-box functionalities."
"Overall, the ability to integrate with multiple applications and effective case management is the most valuable."
"The solution is able to support the size and scale required."
"The solution has very helpful technical support."
"The most valuable aspect of the solution is the various workflows."
"It's a good tool for workflow automation."
"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 scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not."
"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."
"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."
"The documentation must be improved."
"The dashboard is connected into the BPM flow that could be improved."
"Pega currently is trying to add chatbots to their systems, and it's still quite immature. This part definitely needs to be improved."
"In the next release of Pega BPM, they should add more ways to do the customer interaction fields in the portals."
"The main problem with Pega is that it is quite complex, so it is very difficult for the developer to learn."
"I would like to see Pega BPM improve the user experience."
"There have been some performance scalability issues. Suppose you want to add more users. You go from, say, 800 users to 1,500 users, and sometimes that creates issues for which there is no clear explanation. To fix it you have to escalate it with customer service and sometimes the response is not up to the mark in resolving those issues."
"We have experienced a few technical challenges, particularly triggering the workflow through file drops and accessing files."
"The local development approach is good in Pega, however, cost-wise, it's getting expensive. That needs to be addressed."
"Pega BPM could improve the UI, it is poorly designed to have a good UX experience."
Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while Pega BPM is ranked 3rd in Business Process Management (BPM) with 57 reviews. Apache Airflow is rated 8.0, while Pega BPM is rated 8.2. 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 Pega BPM writes "Fastens application development and has all the features to meet the requirements of our customers". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and Appian, whereas Pega BPM is most compared with ServiceNow, Camunda, Appian, Microsoft Power Apps and IBM BPM. See our Apache Airflow vs. Pega BPM report.
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.