AWS Batch vs. Cisco Workload Optimization Manager (WOM)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Batch
Score 6.7 out of 10
N/A
With AWS Batch, users package the code for batch jobs, specify dependencies, and submit batch jobs using the AWS Management Console, CLIs, or SDKs. AWS Batch allows users to specify execution parameters and job dependencies, and facilitates integration with a broad range of popular batch computing workflow engines and languages (e.g., Pegasus WMS, Luigi, Nextflow, Metaflow, Apache Airflow, and AWS Step Functions).N/A
Cisco Workload Optimization Manager (WOM)
Score 8.9 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
AWS BatchCisco Workload Optimization Manager (WOM)
Editions & Modules
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Offerings
Pricing Offerings
AWS BatchCisco Workload Optimization Manager (WOM)
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS BatchCisco Workload Optimization Manager (WOM)
Features
AWS BatchCisco Workload Optimization Manager (WOM)
Workload Automation
Comparison of Workload Automation features of Product A and Product B
AWS Batch
7.3
Ratings
12% below category average
Cisco Workload Optimization Manager (WOM)
8.6
Ratings
4% above category average
Multi-platform scheduling6.00 Ratings8.40 Ratings
Central monitoring8.00 Ratings9.20 Ratings
Logging10.00 Ratings8.10 Ratings
Alerts and notifications5.00 Ratings8.90 Ratings
Analysis and visualization5.90 Ratings8.90 Ratings
Application integration8.70 Ratings8.00 Ratings
Best Alternatives
AWS BatchCisco Workload Optimization Manager (WOM)
Small Businesses

No answers on this topic

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Medium-sized Companies
Apache Airflow
Apache Airflow
Score 8.6 out of 10
Apache Airflow
Apache Airflow
Score 8.6 out of 10
Enterprises
Control-M
Control-M
Score 9.3 out of 10
Control-M
Control-M
Score 9.3 out of 10
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User Ratings
AWS BatchCisco Workload Optimization Manager (WOM)
Likelihood to Recommend
5.0
(0 ratings)
8.9
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
AWS BatchCisco Workload Optimization Manager (WOM)
Likelihood to Recommend
Start with reviewing all your jobs, consolidating the timeline, and making a plan on what all jobs need to be prioritized. These can be optimized based on cost and performance. With a continuously changing workload, AWS Batch helps to build and automate the jobs across various resources. It also helps to manage the performance and workload.
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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
  • S3 amount of files
  • Easy to share files to other sites
  • Like that the files and folders can be open and public or completely private
  • I like that you can have double or mirroring in different Data Centers for Data Recovery
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  • Automated actions alerts and config
  • Monitoring apps
  • Managing apps and resources
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Cons
  • Jobs monitoring dashboards are not matured
  • Documentation and support is something which can be improved
  • Sometime i faced the slow response or slow in performance i would say
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  • User Interface
  • Modern Feel
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Usability
Key advantages include cost-effectiveness through dynamic resource provisioning and the use of spot instances. It auto-scales to meet workload demands, allowing easy job submission via the AWS Management Console or SDKs. It integrates seamlessly with other services like S3 and CloudWatch. It features automatic retries for failed jobs. It allows for a custom computing environment tailored to specific needs
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Alternatives Considered
CF did not have a way to store the videos and I did not want to do so in YouTube because of privacy reasons.
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Easy integration and more user-friendly. We selected this platform because of the price and the name. Honestly, Cisco is better known for the technology than a no-name brand for us, so it was easier to persuade upper management than explain who the company is for another competitor in an RFP.
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Return on Investment
  • Well compared to the cost of having multiple lambda's or some other custom solution working, it has has a postiive impact
  • Helped in orchestrating the jobs, has saved time of developers
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  • Lower costs with accurate sizing.
  • Great workload performance.
  • Utilization and workload density.
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ScreenShots