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AWS Batch

AWS Batch

Overview

What is AWS Batch?

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…

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Recent Reviews
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Popular Features

View all 6 features
  • Application integration (6)
    8.7
    87%
  • Multi-platform scheduling (5)
    8.3
    83%
  • Central monitoring (5)
    7.7
    77%
  • Logging (5)
    7.3
    73%
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Pricing

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What is AWS Batch?

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…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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What is Control-M?

Control-M from BMC is a platform for integrating, automating, and orchestrating application and data workflows in production across complex hybrid technology ecosystems. It provides deep operational capabilities, delivering speed, scale, security, and governance.

What is Lumen Cloud Application Manager?

Lumen Cloud Application Manager (formerly AppFog from CenturyLink) is a cloud-agnostic application and infrastructure management platform with integrated Managed Services. The centralized platform manages workloads across on-premises and third-party cloud environments, allowing for greater scaling…

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Product Demos

AWS Batch Demo - Part 2

YouTube
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Features

Workload Automation

Workload automation tools manage event-based scheduling and resource management across a wide variety of applications, databases and architectures

7.7
Avg 8.2
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Product Details

AWS Batch Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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).

Reviewers rate Application integration highest, with a score of 8.7.

The most common users of AWS Batch are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(35)

Reviews

(1-6 of 6)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
Overall experience using AWS Batch is good, our day to day tasks are full-filling using AWS Batch, we have migrated our all the in premises job and we are able to run more than 100 jobs using AWS Batch with efficiency, It is easy to use, Monitoring of the jobs i am finding little difficulty
Score 6 out of 10
Vetted Review
Verified User
Incentivized
I would advise that to use AWS Batch if there is no other alternative. It delivers on its promise and is a great product and there is the factor of cost. I would suggest none other AWS Lamba or other alternatives in the market as it is quite slow from my experience.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
AWS Batch is perfect in EC2 instances as you'll easily automate the jobs in your hosted private servers. Not good in Lightsail since it is a standalone server, you have to automate on the server itself instead of using AWS Batch.
September 24, 2021

AWS S3 has great value!

Score 8 out of 10
Vetted Review
Verified User
Incentivized
More appropriate if you have a tech group that can use more of the AWS Batch rather than one or 2 things. It works great for me, but there was a huge learning curve the first week of using it. Now, I love it - and I hope to dig deep into other parts not just S3.
Ashwin Vinod | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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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