Apache Airflow vs. Mitratech TAP Workflow Automation

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

From my few months of using the tool, I believe the tool would be best suited for Legal Ops (Contracting) & Procurement. Maybe even in competitive bidding (strategic sourcing: eg RFP & RFX). The tool may be less appropriate for Payment Processing/Collecting.

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

• Creating a user community and sharing knowledge of automation best practices.
• Easy to use form and workflow builder.
• Responsive and knowledgeable technical team.

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

• Adding form fields can be quite tedious as it has to be added to every stage/relationship.
• It's difficult to remember where a certain condition/formula sits.
• I wish the workflow itself can be exported for presentation/demo/documentation purposes.
• I wish there was a way for more than one admin to configure the tool at the same time.

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

Autodesk selected TAP because of its ability to handle more complex workflows. We vetted a lot of "light" automation solutions but wanted a tool that was flexible enough to handle our more extensive use cases.

Incentivized

• 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

• Required fields force robust disclosure information up front.
• Workday integration enables pre-population of fields which reduces manual entry and saves compliance time.
• Emails, communications, and disclosure decision memos and stored in a centralized database which helps our team keep compliant records.
• Automated reminders have led to less ‘chasing’ by compliance.
• Improved UX has encouraged and increased disclosures, mitigating our company's risk.

Incentivized