Apache Airflow vs. Cisco Workload Optimization Manager (WOM)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.5 out of 10
N/A
Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support.N/A
Cisco Workload Optimization Manager (WOM)
Score 8.7 out of 10
N/A
Cisco Workload Optimization Manager drives continuous health in dynamic data center environments, whether on-premises or in a public cloud. The real‑time decision engine provides automatable actions that adjust infrastructure resources at every layer of the stack to ensure the performance of your applications. When your infrastructure is continuously performant, your teams can focus on what matters to the business.N/A
Pricing
Apache AirflowCisco Workload Optimization Manager (WOM)
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Apache AirflowCisco Workload Optimization Manager (WOM)
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache AirflowCisco Workload Optimization Manager (WOM)
Top Pros
Top Cons
Features
Apache AirflowCisco Workload Optimization Manager (WOM)
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.2
9 Ratings
0% above category average
Cisco Workload Optimization Manager (WOM)
8.6
5 Ratings
5% above category average
Multi-platform scheduling8.89 Ratings8.45 Ratings
Central monitoring8.49 Ratings9.25 Ratings
Logging8.19 Ratings8.15 Ratings
Alerts and notifications7.99 Ratings8.95 Ratings
Analysis and visualization7.99 Ratings8.95 Ratings
Application integration8.49 Ratings8.05 Ratings
Best Alternatives
Apache AirflowCisco Workload Optimization Manager (WOM)
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.6 out of 10
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.6 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.4 out of 10
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache AirflowCisco Workload Optimization Manager (WOM)
Likelihood to Recommend
7.8
(9 ratings)
8.9
(5 ratings)
User Testimonials
Apache AirflowCisco Workload Optimization Manager (WOM)
Likelihood to Recommend
Apache
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.
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Cisco
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.
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Pros
Apache
  • 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.
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Cisco
  • Communication
  • Organization
  • User friendly
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Cons
Apache
  • 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
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Cisco
  • Wish it had alerts easier to access.
  • More non tech user friendly
  • Cost a little less
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Alternatives Considered
Apache
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.
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Cisco
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.
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Return on Investment
Apache
  • 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
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Cisco
  • Increased time to value
  • More efficient processes
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ScreenShots