AWS Batch vs Amazon EC2 Auto Scaling comparison

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3,148 views|2,743 comparisons
100% willing to recommend
Amazon Web Services (AWS) Logo
7,086 views|6,771 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon EC2 Auto Scaling and AWS Batch based on real PeerSpot user reviews.

Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Batch vs. Amazon EC2 Auto Scaling Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable features are that it is stable, flexible, and reliable.""The product is flexible.""It has the best auto-scaling features.""The most valuable feature of Amazon EC2 Auto Scaling is scaling your intra based on the request. Additionally, you are able to map the solution with any load balancer, such as public or private load balancers.""Auto-scaling is a good feature.""The monitoring tool is helpful.""The product's most valuable features are high availability and persistence.""Can handle traffic spikes so the system doesn't overload."

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"AWS Batch's deployment was easy.""We can easily integrate AWS container images into the product.""AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.""There is one other feature in confirmation or call confirmation where you can have templates of what you want to do and just modify those to customize it to your needs. And these templates basically make it a lot easier for you to get started."

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Cons
"The product should improve vertical scaling features.""We would like to see improvement in the UI for this solution, so that it is more user-friendly.""Automation is very hard.""The tool must provide proper guidelines to troubleshoot connectivity issues.""I would like to see the security portal improved in the future.""The spinning up in the solution can be much faster...The product should have a faster scalability option.""Amazon EC2 Auto Scaling can provide more discounts when using the machines the solution uses.""The primary area for improvement is the pricing model."

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"AWS Batch needs to improve its documentation.""When we run a lot of batch jobs, the UI must show the history.""The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements.""The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."

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Pricing and Cost Advice
  • "Pricing could be a little bit more competitive."
  • "The pricing is not fixed and it is based on usage."
  • "The price of this product could be a little bit lower."
  • "Licensing fees are paid on a yearly basis."
  • "I have not explored the price of the solution extensively, but from what I have seen the price is alright."
  • "When we want to use more services, we need to pay more. It's a monthly subscription, rather than licensed-based. Pricing or fees for Amazon EC2 Auto Scaling could be improved."
  • "The solution pricing varies by service region is mid-range."
  • "Amazon EC2 Auto Scaling uses a pay-as-you-go pricing model."
  • More Amazon EC2 Auto Scaling Pricing and Cost Advice →

  • "AWS Batch's pricing is good."
  • "The pricing is very fair."
  • "AWS Batch is a cheap solution."
  • More AWS Batch Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool must provide proper guidelines to troubleshoot connectivity issues. It must also improve AMI creation.
    Top Answer:AWS Lambda is a serverless solution. It doesn’t require any infrastructure, which allows for cost savings. There is no setup process to deal with, as the entire solution is in the cloud. If you use… more »
    Top Answer:AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.
    Ranking
    2nd
    out of 16 in Compute Service
    Views
    3,148
    Comparisons
    2,743
    Reviews
    31
    Average Words per Review
    324
    Rating
    9.0
    3rd
    out of 16 in Compute Service
    Views
    7,086
    Comparisons
    6,771
    Reviews
    4
    Average Words per Review
    973
    Rating
    9.0
    Comparisons
    Also Known As
    AWS RAM
    Amazon Batch
    Learn More
    Overview

    Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.

    AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Hess, Expedia, Kelloggs, Philips, HyperTrack
    Top Industries
    REVIEWERS
    Computer Software Company44%
    Financial Services Firm16%
    Comms Service Provider8%
    Media Company4%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company14%
    University8%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company13%
    Manufacturing Company6%
    Insurance Company5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise15%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise10%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    Buyer's Guide
    AWS Batch vs. Amazon EC2 Auto Scaling
    March 2024
    Find out what your peers are saying about AWS Batch vs. Amazon EC2 Auto Scaling and other solutions. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    Amazon EC2 Auto Scaling is ranked 2nd in Compute Service with 37 reviews while AWS Batch is ranked 3rd in Compute Service with 4 reviews. Amazon EC2 Auto Scaling is rated 8.8, while AWS Batch is rated 9.0. The top reviewer of Amazon EC2 Auto Scaling writes "Well-documented setup process and highly stable solution". On the other hand, the top reviewer of AWS Batch writes "User-friendly, good customization and offers exceptional scalability, allowing users to run jobs ranging from 32 cores to over 2,000 cores". Amazon EC2 Auto Scaling is most compared with AWS Fargate, AWS Lambda, Amazon Elastic Inference, Oracle Compute Cloud Service and Apache NiFi, whereas AWS Batch is most compared with AWS Lambda, Apache Spark, AWS Fargate, Oracle Compute Cloud Service and Amazon EC2. See our AWS Batch vs. Amazon EC2 Auto Scaling report.

    See our list of best Compute Service vendors.

    We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.