AWS Batch vs Amazon EC2 Auto Scaling comparison

Amazon EC2 Auto Scaling and AWS Batch are both solutions in the Compute Service category. Amazon EC2 Auto Scaling is ranked #3 with an average rating of 8.8, while AWS Batch is ranked #5 with an average rating of 8.8. Amazon EC2 Auto Scaling holds a 10.8% mindshare in CS, compared to AWS Batch’s 21.0% mindshare. Additionally, 100% of Amazon EC2 Auto Scaling users are willing to recommend the solution, compared to 100% of AWS Batch users who would recommend it.

Amazon EC2 Auto Scaling

Read 45 Amazon EC2 Auto Scaling reviews

1,632 Views
1,401 Comparison Views

100% willing to recommend

AWS Batch

Read 6 AWS Batch reviews

2,131 Views
1,892 Comparison Views

100% willing to recommend

Amazon EC2 Auto Scaling

AWS Batch

Comparison Buyer's Guide

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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 2025).

Buyer's Guide

AWS Batch vs. Amazon EC2 Auto Scaling

March 2025

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Helped 845,406 peers since 2012

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

3rd

Average Rating

9.0

Reviews Sentiment

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Batch

Ranking in Compute Service

5th

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 10.8%, down from 12.6% compared to the previous year. The mindshare of AWS Batch is 21.0%, up from 17.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service

Featured Reviews

Erick Karanja

Technical Lead at Cellulant Kenya

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.

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Larry Singh

Head of Bioinformatics at Paratus Sciences

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.

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Quotes from Members

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

Pros

"The initial setup is straightforward."

"With the ability to set up rules based on demand, network, or traffic, the service offers a necessary level of adaptability."

"The tool is a simple solution. You can deploy a new virtual machine in minutes. You can select options like memory and core number and connect storage. It's great because it's simple and fast. You can build a virtual machine in minutes, do your experiments, and then uninstall it without paying for it when it's not in use."

"It has the best auto-scaling features."

"I like the fact that you don't need to pay for it when you aren't using it, especially in a disaster recovery scenario. The pricing is transparent, so you know what you're going to pay for it."

"The most valuable features include the availability of various services like compute, memory, and database services in the AWS landscape."

"The solution is scalable."

"Most of what I've deployed are CI/CD pipelines. AWS is scalable. You can always increase or adjust the resources to meet the specific requirements. I also like choosing an instance in any location, preferably the closest one. We don't have any AWS locations in South Africa, but the latency is about the same as hosting in Europe."

More Amazon EC2 Auto Scaling pros

"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."

Cons

"The price could always be a bit better."

"For future improvements, I suggest focusing on cost reduction."

"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."

"The product's technical support needs to be better."

"The launch configuration feature doesn't work properly. It needs to improve the load configuration feature along with launch templates. The tool needs to tag feature as well."

"We would like to see improvement in the UI for this solution, so that it is more user-friendly."

"The solution's pricing is expensive. You pay based on how much you use it, like paying for the time or hours you use the service. There's no need to buy hardware separately."

"There is room for improvement in the scalability."

More Amazon EC2 Auto Scaling cons

"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."

"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."

Pricing and Cost Advice

"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."

"AWS offered some credits, so we have been able to enjoy some of those benefits. The pricing was fair."

"Licensing fees are paid on a yearly basis."

"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."

"There is no specific pricing for Amazon EC2 Auto Scaling, but we have to pay for the number of machines getting scaled up."

"The tool's pricing is good and not expensive."

"The price of this product could be a little bit lower."

"The product is cheap."

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."

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

14%

Government

University

Financial Services Firm

28%

Computer Software Company

10%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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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...

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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.

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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...

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What do you like most about AWS Batch?

AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.

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What is your experience regarding pricing and costs for AWS Batch?

AWS Batch itself is a service for which I don't usually pay directly. I pay for the compute and memory used underneath, such as AWS EC2 ( /products/amazon-ec2-reviews ), AWS Fargate ( /products/aws...

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Compared 22% of the time

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Compared 5% of the time

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Compared 59% of the time

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Compared 22% of the time

Amazon EC2 vs AWS Batch

Compared 6% of the time

Oracle Compute Cloud Service vs AWS Batch

Compared 6% of the time

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Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

March 2025

Download Amazon EC2 Auto Scaling product report

Buyer's Guide

Compute Service

March 2025

Download AWS Batch product report

Also Known As

AWS RAM

Amazon Batch

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.

Amazon Web Services (AWS)

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.

Amazon Web Services (AWS)

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Hess, Expedia, Kelloggs, Philips, HyperTrack

Buyer's Guide

AWS Batch vs. Amazon EC2 Auto Scaling

March 2025

Free Report: AWS Batch vs. Amazon EC2 Auto Scaling

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