Apache Airflow vs. Cisco Workload Optimization Manager (WOM)

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

Cisco Workload Optimization is there to allow tasks to be optimized, prioritized, and facilitated to increase the company's growth and expansion direction. More so, Cisco Workload Optimization brings the ideals of solid engagement, where the collaboration comes in, and the innovations among other procedures suit the company's needs. Cisco Workload Optimization has a consistent approach to controlling the resources for a specific job role.

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

• Communication
• Organization
• User friendly

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

• Wish it had alerts easier to access.
• More non tech user friendly
• Cost a little less

Incentivized

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

Cisco WOM now is integrated with Cisco Intersight so you will have in one dashboard the benefits of these solutions. In order to get all in one dashboard, Cisco recommends integrating through their secure API.

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

• Increased time to value
• More efficient processes

Incentivized