"I like the UI rework, it's much easier."
"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."
"I found the following features very useful: DAG - Workload management and orchestration of tasks using."
"The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."
"The initial setup was straightforward and it does not take long to complete."
"We have been quite satisfied with the stability of the solution."
"I find the BPM the most valuable feature."
"Appian has many valuable features, the first being the ease of development—rapid development. Second, the process of learning the product and tool is faster when compared to its peers in the market. It's closer to low-code, and while it's still not very easy, it's more low-code than other products in the industry. Appian has a good user interface, a seamless model user interface, which comes without additional coding. It can also integrate with multiple systems."
"This is the most complete solution of its kind."
"Good workflow engines that bridge the gaps of processes."
"The solution's most valuable features are the regular periodic and quarterly updates, they are very useful updates. They keep improving the solution more often, and that helps the platform or code always be up to date with the latest features."
"The solution has a lot of strong features for the financial industry, it is very easy to use."
"It's heavy on business processing in terms of logic, process workflows, and primarily on the process design modeler. Appian is really great at that. In terms of the full stack set from a low-code platform perspective, it's definitely an eye opener since it can be deployed via mobile app and on the web as well."
"It provides us with real-time data on all connected systems in terms of how they're integrated with each other and how they are performing in a workflow manner."
"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."
"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."
"Technical support is an area that needs improvement."
"The dashboard is connected into the BPM flow that could be improved."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"I would like to see it more friendly for other use cases."
"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."
"The solution could improve robotic process automation."
"Lacks integration with other products."
"I would like to see more complete university tools. For example, with UiPath, I have had a good experience related to a free course in order to provide some users some different levels of knowledge. This extra training helps users not only use the solution but to develop further within the tool."
"I wouldn't say their response time is long, but it could be quicker."
"Something I would like to see improved is an SQL database connection."
"What could be improved is more on the front end perspective, like the user interface and the mobile application aspect."
"Authoring tool is slow to use resulted in limitations on how quickly solutions can be built."
"The solution could use some more tutorials to help brand new users figure out how to use the product effectively."
Airflow is a platform to programmatically author, schedule and monitor workflows.
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.
When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
Apache Airflow is ranked 8th in Business Process Management (BPM) with 7 reviews while Appian is ranked 6th in Business Process Management (BPM) with 16 reviews. Apache Airflow is rated 7.8, while Appian is rated 8.4. The top reviewer of Apache Airflow writes "Helps us maintain a clear separation of our functional logic from our operational logic". On the other hand, the top reviewer of Appian writes "Easy to develop, low-code, and has a good user interface ". Apache Airflow is most compared with Camunda Platform, Amazon Step Functions, IBM BPM, IBM Business Automation Workflow and OpenText 360 for SharePoint, whereas Appian is most compared with Pega BPM, ServiceNow, Camunda Platform, Microsoft PowerApps and Bonita. See our Apache Airflow vs. Appian report.
See our list of best Business Process Management (BPM) vendors.
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