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).
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Stonebranch
Score 10.0 out of 10
Enterprise companies (1,001+ employees)
Stonebranch provides enterprise-wide workload automation software solutions that are designed to solve complex IT business processes in a simple way - from Amazon Web Services, Docker, OpenStack, Hadoop, Microsoft Azure to z/OS batch processes on the mainframe. Stonebranch’s Universal Automation Center (UAC) is a system of four enterprise workload automation products:
Universal Controller Universal Agent Universal Data Mover Universal Data Mover…
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Pricing
AWS Batch
Stonebranch
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Batch
Stonebranch
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Commercial models include Perpetual, Subscription & Usage-based and clients can choose the model that best suits their business.
The Stonebranch software license models allow for unlimited concurrent and named users and the Perpetual and Subscription models include unlimited job executions per day – there are no license upgrades due to tasks per day increases. Licenses for a Disaster Recovery site are offered free of charge.
More Pricing Information
Community Pulse
AWS Batch
Stonebranch
Considered Both Products
AWS Batch
Verified User
Anonymous
Chose AWS Batch
Overall AWS Batch, I found easy compare to other softwares which i have tried, It is easy to setup the multiple jobs and on demand we can push our new jobs and same will be monitored by the monitoring dashboards provided by AWS batch, easy to schedule the new job using AWS batch.
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.
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