We performed a comparison between Apache Airflow and AWS Step Functions 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."
"The product is stable."
"It's stable."
"Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes."
"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."
"Apache Airflow is in Python language, making it easy to use and learn."
"Apache Airflow is easy to use and can monitor task execution easily. For instance, when performing setup tasks, you can conveniently view the logs without delving into the job details."
"I like the UI rework, it's much easier."
"It's a general solution that you can adapt to your own needs and is simple to use. We like that it can be integrated with everything in the AWS suite, and that the creation of the pipeline can be done using the graphical user interface."
"One can rate all the calls and that is a good feature."
"The number of historical events is great."
"It's Amazon, it's scalable."
"What I like the most about Amazon Step Functions is how easy it is to use."
"AWS Step Functions acts as a high-level layer, allowing us to seamlessly integrate with microservices."
"The solution is stable...The solution is easy to scale."
"It is a scalable solution."
"Apache Airflow could be improved with the addition of more frameworks."
"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."
"The platform's stability needs improvement, particularly regarding occasional interruptions due to networking issues."
"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."
"The documentation must be improved."
"There is a need for more features on experimental evolution steps."
"The dashboard is connected into the BPM flow that could be improved."
"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."
"It is hard to coordinate the declaratory language."
"The pricing of the solution can be improved."
"It wasn't easy to understand the licensing model. It's like if you use just a little, it's cheap, but it becomes more expensive as you use more. It's like a hook that ties you inside the Amazon ecosystem. So, it creates a dependency."
"The solution's data size limit can be improved."
"Setup took about one day. We had some errors to understand in the beginning, but now everything is working good."
"I would like to see more data transformation features in Amazon Step Functions like additional operators and logic."
"The interface can sometimes feel limited, as we're unable to see what AWS is running behind the scenes."
"The price and support are areas with shortcomings where the solution needs to improve."
Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while AWS Step Functions is ranked 12th in Business Process Management (BPM) with 8 reviews. Apache Airflow is rated 8.0, while AWS Step Functions is rated 7.8. 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 AWS Step Functions writes "Simplifies complex task automation and enhances development workflows while offering user-friendly interface, seamless scalability and efficient workflow orchestration". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and Bizagi, whereas AWS Step Functions is most compared with Camunda, IBM BPM, Pega BPM, Oracle BPM and IBM Business Automation Workflow. See our AWS Step Functions vs. Apache Airflow report.
See our list of best Business Process Management (BPM) vendors.
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