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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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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

(1-3 of 3)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
We have multiple scraping jobs written and this needs to be managed, we were facing difficulty to run, then we moved to AWS Batch where we are running multiple jobs very easily and efficiently, so mainly we are using AWS for cost saving and optimisation, We are running 100s of jobs currently
  • Fully Managed service
  • We can use other AWS services, it is well integrated
  • Cheaper
  • Best resource utilisation
  • 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
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
Workload Automation (6)
66.66666666666667%
6.7
Multi-platform scheduling
80%
8.0
Central monitoring
70%
7.0
Logging
60%
6.0
Alerts and notifications
70%
7.0
Analysis and visualization
40%
4.0
Application integration
80%
8.0
  • Overall over business is able to save the cost
  • Saved our times to improve the existing process
  • Able to integrate with other applications as well, so that is plus point
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.
March 28, 2022

AWS Batch

PRABHAT MISHRA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We need to not manage the machines, very easy to use, great dashboard, fully supported SDK for programmatic access. We were short of resources, so we used batch which helped with no need of monitoring underlying infrastructure.
  • No need to manage underlying infrastructure.
  • Easy Dashboard for monitoring jobs.
  • Great SDK, programmatic access.
  • Dashboard does not have search, filters.
  • We cannot configure machine allocation.
  • Jobs history is very limited.
Easy to configure task queues and queue tasks that require async execution with AWS client for PHP. Good logs on AWS CloudWatch where you can log output and errors of the task execution.
Workload Automation (6)
90%
9.0
Multi-platform scheduling
90%
9.0
Central monitoring
90%
9.0
Logging
90%
9.0
Alerts and notifications
100%
10.0
Analysis and visualization
70%
7.0
Application integration
100%
10.0
  • Very positive impact as we need not manage underlying infrastructure.
  • Monitoring gave insights which helped in ROI.
  • It helps running jobs at scale.
We wanted to start everything on a scale & with fewer resources to manage the underlying infrastructure.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Previously supported this on my previous job along with users integrating with 3rd party firewall in the AWS marketplace. Integration with AWS services is top-notch because of how it simplifies automation and batch jobs.
  • Since this is in AWS, integration with EC2 instances along with other AWS services is very simple.
  • Insufficient documentation and training materials.
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.
Workload Automation (6)
96.66666666666666%
9.7
Multi-platform scheduling
100%
10.0
Central monitoring
100%
10.0
Logging
100%
10.0
Alerts and notifications
100%
10.0
Analysis and visualization
90%
9.0
Application integration
90%
9.0
  • The costing is per job basis and not that expensive.
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