Apache Airflow vs. ProcessMaker

For a quick job scanning of status and deep-diving into job issues, details, and flows, AirFlow does a good job. No fuss, no muss. The low learning curve as the UI is very straightforward, and navigating it will be familiar after spending some time using it. Our requirements are pretty simple. Job scheduler, workflows, and monitoring. The jobs we run are >100, but still is a lot to review and troubleshoot when jobs don't run. So when managing large jobs, AirFlow dated UI can be a bit of a drawback.

Incentivized

I loved it. You will not get an easier interface. You can develop workflow processes in a simple way, one which allows anyone to understand what you are trying to accomplish; however, you will get into some issues if your employees are scared of coding (when you get to the advanced features). For some, this will never be an issue as the knowledge you need is very basic. But for the school I was working with, it would have stopped them cold

Incentivized

• In charge of the ETL processes.
• As there is no incoming or outgoing data, we may handle the scheduling of tasks as code and avoid the requirement for monitoring.

Incentivized

• We can write PHP and Javascript code to handle the way the ProcessMaker does. It makes the ProcessMaker more flexible to meet our requests on our workflow.
• The Processmaker provides a What-You-See-Is-What-You-Get flowchart design tool, we can draw our process very easy like Visio. And, We can use the flowchart to implement our workflow.
• Also, the Dynaform, the electronic form function of Processmaker, is WYSIWYG form design tool, help us design forms participated in the process.

Incentivized

• they should bring in some time based scheduling too not only event based
• they do not store the metadata due to which we are not able to analyze the workflows
• they only support python as of now for scripted pipeline writing

Incentivized

• I am still not able to achieve complicated workflows. May be a developer to create a plugin is required.
• The UI can be more attractive and colourful.

Easy to learn Easy to use Robust workflow orchestration framework Good in dependent job management

Incentivized

There are a number of reasons to choose Apache Airflow over other similar platforms- Integrations—ready-to-use operators allow you to integrate Airflow with cloud platforms (Google, AWS, Azure, etc) Apache Airflow helps with backups and other DevOps tasks, such as submitting a Spark job and storing the resulting data on a Hadoop cluster It has machine learning model training, such as triggering a Sage maker job.

Incentivized

Before making the decision to get ProcessMaker, we assessed different and best options in the market, which are also quite competitive. KiSSFLOW, Blueworks Live, and Bizagi, being the most relevant and ADONIS, to mention the ones we consider the most relevant and capable of meeting our needs. In the end, we went for ProcessMaker because of mainly three things as described before: 1. Real-time process status tracking. 2. Metrics and dashboards. 3. Ease of use for constructing diagrams.

• A lot of helpful features out-of-the-box, such as the DAG visualizations and task trees
• Allowed us to implement complex data pipelines easily and at a relatively low cost

Incentivized

• This would have been the easiest program to implement. It would have been the quickest, and the one that most of the employees would have been able to master. That alone would have saved countless dollars in time investment.
• Unfortunately, the environment doesn't support knowledge of coding. So, they would never be able to advance further than a certain degree before having to bring someone else in again. It would have saved money at first, but then would have ended up costing in the long run.

Incentivized