AWS Batch

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
Pricing
AWS Batch
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
AWS Batch
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS Batch
Features
AWS Batch
Workload Automation
Comparison of Workload Automation features of Product A and Product B
AWS Batch
7.3
Ratings
12% below category average
Multi-platform scheduling6.00 Ratings
Central monitoring8.00 Ratings
Logging10.00 Ratings
Alerts and notifications5.00 Ratings
Analysis and visualization5.90 Ratings
Application integration8.70 Ratings
Best Alternatives
AWS Batch
Small Businesses

No answers on this topic

Medium-sized Companies
Apache Airflow
Apache Airflow
Score 8.6 out of 10
Enterprises
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternatives
User Ratings
AWS Batch
Likelihood to Recommend
5.0
(0 ratings)
Usability
8.0
(0 ratings)
User Testimonials
AWS Batch
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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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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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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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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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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ScreenShots