"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 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 product integrates well with other pipelines and solutions."
"The initial setup was straightforward and it does not take long to complete."
"I like the UI rework, it's much easier."
"We have been quite satisfied with the stability of the solution."
"The most valuable features are the management of internal processes, the ability to execute from design and the model for internal processes, the ability to make processes visible, and the ability to have information about the current state of each instance."
"The modeler is useful for creating the flow. The way to access the data through their REST API is also valuable. This is what we're using right now."
"The solution is good for data models."
"The most valuable features are that it's lightweight, can be embedded in existing Java code, and keeps track of the workflow state and the instances that we need."
"There's this graphic that tells you how many lines or how many tickets are in each step. In that way, you know where you stand. I find this feature very valuable."
"The interface and the number of connectors that they provide are the most valuable features. The support here, it's kind of okay. But the main thing is with the number of connectors and the UI, the user interface."
"The most valuable feature is the scheduling."
"The best feature is the automation."
"Technical support is an area that needs improvement."
"I would like to see it more friendly for other use cases."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"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."
"The dashboard is connected into the BPM flow that could be improved."
"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 scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not."
"The support definitely can be improved. Apart from that, the language should be extendable to other platforms. If I want to write, I'll run a different platform, like Python code on top of it, or COBOL code on top of it, and it should support those languages."
"I don't like the UI of the Camunda Platform, I have found the Signavio solution to be much better for me to create the process designs and execute them. Additionally, I have found the tools in the Camunda Platform are not compatible with some of my other tools. They should improve this in the future."
"Lacking in forms visualization."
"The solution could use some enhancements like adding connectors, improving forms and having a mobile app, but everything is an enhancement rather than a flaw."
"I'm from the .NET world and I would like to use it, rather than Java."
"I think that Camunda can try to do better when it comes to solving the complexities of all the products in its software stack."
"The initial setup can be complex for business users."
"The only drawback is the time that it takes to have a complete set of workflows implemented on the Camunda platform."
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.
Camunda Platform is a complete process automation tech stack with powerful execution engines for BPMN workflows and DMN decisions paired with essential applications for modeling, operations, and analytics.
With a clear vision to automate any process, anywhere, Camunda is reinventing process automation for the digital enterprise. Featuring a developer-friendly, open source approach, enterprises can use Camunda Platform to breakthrough technological, organizational, and infrastructure barriers, optimize their business processes, and drive their digital transformation initiatives forward.
Apache Airflow is ranked 8th in Business Process Management (BPM) with 7 reviews while Camunda Platform is ranked 1st in Business Process Management (BPM) with 27 reviews. Apache Airflow is rated 7.8, while Camunda Platform is rated 8.0. 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 Camunda Platform writes "Component reusability saves us development time, but the learning curve is too steep". Apache Airflow is most compared with Amazon Step Functions, IBM BPM, IBM Business Automation Workflow, Informatica Cloud Api and App Integration and Informatica Business Process Manager, whereas Camunda Platform is most compared with Pega BPM, Bonita, Bizagi, Appian and IBM BPM. See our Apache Airflow vs. Camunda Platform report.
See our list of best Business Process Management (BPM) vendors.
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