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AWS Batch vs Amazon EC2 Auto Scaling comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon EC2 Auto Scaling
Ranking in Compute Service
2nd
Average Rating
8.8
Reviews Sentiment
8.2
Number of Reviews
44
Ranking in other categories
No ranking in other categories
AWS Batch
Ranking in Compute Service
6th
Average Rating
9.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 11.2%, down from 11.4% compared to the previous year. The mindshare of AWS Batch is 20.3%, up from 19.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
 

Featured Reviews

Erick  Karanja - PeerSpot reviewer
Scaling is as easy as hitting a button and setup is straightforward
AWS has already made improvements. In the past, if you provisioned a large EC2 instance and underutilized it, you still paid a premium. Now, AWS encourages using Kubernetes, where you primarily pay for the compute power you actually use in production. There is room for improvement. You might end up paying a high price if you're not careful and you provision a server that's underutilized. AWS has left it to engineers to figure out solutions. If you find the cost too high, you can move to Kubernetes, which might be a better solution for you than large EC2 instances. So, the improvements need to come from the user side, not the provider. Software engineers and engineering teams need to know their limits with EC2 instances. They need to recognize when it's time to transition their applications to Kubernetes. This means building with the cloud in mind from the start, making it easier to move solutions to the cloud without suffering upgrades and integration issues.
Larry Singh - PeerSpot reviewer
User-friendly, good customization and offers exceptional scalability, allowing users to run jobs ranging from 32 cores to over 2,000 cores
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. So, for instance, you don't exactly know how much compute resources you'll need and when you'll need them. So it's much better for that flexibility. But if you're going to be running jobs consistently and using the compute cluster consistently for a lot of time, and it's not going to have a lot of downtime, then the HPC system might be a better alternative. So, really, it boils down to cost versus usage trade-offs. It's going to be more expensive for a lot of people. In future releases, I would like to see anything that could help make it easier to set up your initial system. And besides improving the GUI a little bit, the interface to it, making it a little bit more descriptive and having more information at your fingertips, so if you could point to the help of what the different features are, you can get quick access to that. That might help. With most of the AWS services, the difficulty really is getting information and knowledge about the system and seeing examples. So, seeing examples of how it's being used under multiple use cases would be the best way to become familiar with it. And some of that would just come with experience. You have to just use it and play with it. But in terms of the system itself, it's not that difficult to set up or use.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The documentation is good."
"The initial setup of Amazon EC2 Auto Scaling is easy...Since we are an enterprise-sized company and a client of Amazon, the response from the technical support team was immediate."
"The solution is scalable."
"Amazon EC2 Auto Scaling has a cool-down time feature called the warmup start."
"The product’s most valuable feature is the seamless resizing of web connection."
"The tool helps me to process large data sets while scaling up."
"It uses features like target tracking scaling policy, which automatically maintains CPU utilization levels."
"Auto-scaling is a good feature."
"We can easily integrate AWS container images into the product."
"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."
"AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"AWS Batch's deployment was easy."
 

Cons

"The support to manage the processes could be better."
"I would like to see a feature included that has the capability to clone when an instance is being terminated."
"Amazon EC2 Auto Scaling could improve by adding better integration features with the other services. Additionally, if the alarms could be triggered from other services this would be beneficial."
"Scalability can be improved."
"The primary area for improvement is the pricing model."
"As we are transitioning to managing containerized applications, the solution could improve by adding more managed container services as a feature in the solution."
"Amazon EC2 Auto Scaling offers various benefits but lacks certain features for fine-grained customization compared to other cloud providers like GCP. Users are constrained by predefined instance families in EC2 when selecting instance types for scaling. Unlike GCP, where users can independently scale resources such as memory or CPU, EC2 doesn't offer this flexibility."
"Its stability and scalability need improvement."
"When we run a lot of batch jobs, the UI must show the history."
"AWS Batch needs to improve its documentation."
"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."
"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."
 

Pricing and Cost Advice

"The tool's pricing is good and not expensive."
"It's cost-effective."
"I rate Amazon EC2 Auto Scaling's pricing a seven out of ten."
"The solution's licensing is based on a pay-as-you-go model. You only pay for the resources you use, whether it's RAM, processing power, or storage. So, it's calculated based on the time you use those resources, typically billed in hours or minutes."
"Licensing fees are paid on a yearly basis."
"Amazon EC2 instances can be very expensive."
"The product is quite expensive."
"The pricing is not fixed and it is based on usage."
"AWS Batch is a cheap solution."
"AWS Batch's pricing is good."
"The pricing is very fair."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
16%
University
7%
Government
7%
Financial Services Firm
27%
Computer Software Company
10%
Manufacturing Company
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Amazon EC2 Auto Scaling?
The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool e...
What is your experience regarding pricing and costs for Amazon EC2 Auto Scaling?
The pricing structure from AWS is really complex and depends on factors like the region and specific services used. Prices can vary significantly even within the same service across different locat...
What needs improvement with Amazon EC2 Auto Scaling?
There is a need for improvement in understanding the pricing structure, as it is complex and depends on several factors such as the location of data centers.
Which is better, AWS Lambda or Batch?
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...
What do you like most about AWS Batch?
AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.
 

Also Known As

AWS RAM
Amazon Batch
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Hess, Expedia, Kelloggs, Philips, HyperTrack
Find out what your peers are saying about AWS Batch vs. Amazon EC2 Auto Scaling and other solutions. Updated: January 2025.
837,501 professionals have used our research since 2012.