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."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."
"Since Apache works very well on Python, we can manage everything and create pipelines there."
"The best feature is the customization."
"Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion."
"Since the solution is programmatic, it allows users to define pipelines in code rather than drag and drop."
"Development on Apache Airflow is really fast, and it's easy to use with the newer updates. Everything is in Python, so it's not hard to understand. They also have a graphical view, so if you are not a programmer and you are just an administrator, you can easily track everything and see if everything is working or not."
"We have been quite satisfied with the stability of the solution."
"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."
"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."
"It is a scalable solution."
"One can rate all the calls and that is a good feature."
"The solution is stable...The solution is easy to scale."
"The integration capability is easy, whereas building state machines is tricky."
"The number of historical events is great."
"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."
"We're currently using version 1.10, but I understand that there's a lot of improvements in version 2. In the earlier version that we're using, we sometimes have problems with maintenance complexity. Actually using Airflow is okay, but maintaining it has been difficult."
"I want to see Apache Airflow have more integrations with more production-based databases since it is an area where the product lacks currently."
"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."
"Enhancements become necessary when scaling it up from a few thousand workflows to a more extensive scale of five thousand or ten thousand workflows."
"Airflow should support the dynamic drag creation."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"Technical support is an area that needs improvement."
"The solution could be improved by simplifying the integration process."
"It is hard to coordinate the declaratory language."
"Setup took about one day. We had some errors to understand in the beginning, but now everything is working good."
"The solution's data size limit can be improved."
"The pricing of the solution can be improved."
"The interface can sometimes feel limited, as we're unable to see what AWS is running behind the scenes."
"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 price and support are areas with shortcomings where the solution needs to improve."
"I would like to see more data transformation features in Amazon Step Functions like additional operators and logic."
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 9 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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