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 #5 with an average rating of 9.1, while AWS Batch is ranked #3 with an average rating of 8.4. Amazon EC2 Auto Scaling holds a 9.2% mindshare in CS, compared to AWS Batch’s 17.2% 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 50 Amazon EC2 Auto Scaling reviews

1,011 Views
1,011 Comparison Views

100% willing to recommend

AWS Batch

Read 10 AWS Batch reviews

1,328 Views
1,328 Comparison Views

100% willing to recommend

Amazon EC2 Auto Scaling

AWS Batch

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on May 21, 2025

AWS Batch and Amazon EC2 Auto Scaling operate in the cloud computing category, with AWS Batch focusing on efficient batch computing job scheduling and Amazon EC2 Auto Scaling handling dynamic instance scaling. Amazon EC2 Auto Scaling appears to have an edge due to its superior flexibility and broader feature set.

Features: AWS Batch offers automated execution for batch workloads, job monitoring, and dependency management, making it ideal for parallel job execution. Amazon EC2 Auto Scaling provides dynamic scaling, lifecycle management for groups of instances, and seamless resource optimization. Additionally, it integrates well with load balancing features.

Room for Improvement: AWS Batch could improve by offering more granular control over job prioritization and dependency handling. Enhanced integration with non-AWS services would expand its utility. Greater transparency in billing could also benefit users. Amazon EC2 Auto Scaling could enhance its usability by simplifying the configuration of scaling policies. Improved real-time monitoring capabilities and seamless integration with third-party tools would strengthen its overall appeal.

Ease of Deployment and Customer Service: AWS Batch is designed for straightforward deployment in batch computing contexts, and it integrates well with other AWS services for a cohesive experience. Amazon EC2 Auto Scaling allows for highly customized scaling policies, catering to diverse application requirements. AWS Batch’s support focuses on batch operations, while Amazon EC2 Auto Scaling benefits from comprehensive service support, suitable for varied scenarios.

Pricing and ROI: AWS Batch employs a pay-as-you-use model, offering cost efficiency for high-volume batch processing with minimal initial setup. Amazon EC2 Auto Scaling involves variable costs linked to usage, necessitating a detailed pricing strategy but offering significant ROI through advanced infrastructure management.

To learn more, read our detailed AWS Batch vs. Amazon EC2 Auto Scaling Report (Updated: September 2025).

Buyer's Guide

AWS Batch vs. Amazon EC2 Auto Scaling

September 2025

Download the complete report

Helped 868,759 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

5th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Batch

Ranking in Compute Service

3rd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 9.2%, down from 13.0% compared to the previous year. The mindshare of AWS Batch is 17.2%, up from 16.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service Market Share Distribution
Product	Market Share (%)
AWS Batch	17.2%
Amazon EC2 Auto Scaling	9.2%
Other	73.6%

Compute Service

Featured Reviews

Karthikeyan Ganesan

Scrum Master/ Agile Coach at Porch Group

Offers automatic scaling features but can improve user interface and setup guidance

Customizable policies help us determine how scaling should occur. In enterprise environments such as healthcare or banking with numerous instances running different applications, customizable policies allow appropriate scaling. For critical servers, we can set up a higher number of new instances to scale out to prevent downtime. For less critical servers that perform simple tasks such as file copying, we can use customizable policies to scale out minimal instances to avoid unnecessary expenses or cloud costs. Regarding integration, there are some disadvantages in AWS where certain availability zones or regions experience glitches. This can cause production halts because of problems on Amazon's side. In particular regions, when integrating Amazon EC2 Auto Scaling or other services, there might be delays in creating new Amazon EC2 instances, sometimes becoming inefficient.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"It uses features like target tracking scaling policy, which automatically maintains CPU utilization levels."

"The solution is highly scalable."

"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 eliminates the need for hardware. We can choose what we need and pay as we use it. It is flexible and can integrate with any product."

"Auto-scaling is a good feature."

"The documentation is good."

"The easy possibility to spin up runtimes according to the needs of the POC, getting a runtime up and running in an easy way, which is accessible over the internet, is valuable for our process."

"The main benefit of implementing Amazon EC2 Auto Scaling is that service availability for end users reaches 99.99%, with effectively zero downtime."

"One of the most important benefits is that a company can optimize resources because Auto Scaling deploys resources when needed. For example, for Black Friday, a company can deploy 100 servers for a couple of days. When Black Friday is over, the company can delete those servers."

More Amazon EC2 Auto Scaling pros

"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."

"AWS Batch's deployment was easy."

Cons

"Integration with LLM would be beneficial as many services are implementing this functionality. This could help people configure the service."

"EC2 is doing what it is intended to do, and I have no specific improvements to suggest."

"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."

"What could be improved in Amazon EC2 Auto Scaling is its fees."

"Amazon should provide more detailed training materials for people who are just starting to work with Amazon EC2 Auto Scaling."

"The tool must provide proper guidelines to troubleshoot connectivity issues."

"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."

"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."

More Amazon EC2 Auto Scaling cons

"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."

Pricing and Cost Advice

"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."

"Compared to the performance, the price is quite high. I would rate it a ten because it is expensive. There are additional costs including bandwidth costs, data transfer costs, and load balancing costs."

"Amazon EC2 Auto Scaling uses a pay-as-you-go pricing model."

"The product is quite expensive."

"It's cost-effective."

"Pricing could be a little bit more competitive."

"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 pricing is not fixed and it is based on usage."

More Amazon EC2 Auto Scaling pricing and cost advice

"AWS Batch is a cheap solution."

"AWS Batch's pricing is good."

"The pricing is very fair."

See which vendors are best for you

Use our free recommendation engine to learn which Compute Service solutions are best for your needs.

See recommendations

868,759 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

11%

Retailer

Performing Arts

Financial Services Firm

28%

Manufacturing Company

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	9
Large Enterprise	26

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	6

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...

See all answers

What is your experience regarding pricing and costs for Amazon EC2 Auto Scaling?

Regarding licensing and setup costs, we always study in detail using lower environments such as User Acceptance Testing or sandbox environments. Before creation, we consult AWS official documentati...

See all answers

What needs improvement with Amazon EC2 Auto Scaling?

See all answers

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...

See all answers

What do you like most about AWS Batch?

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

See all answers

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

Pricing is good, as AWS Batch allows specifying spot instances, providing cost-effective solutions when launching jobs and spinning up EC2 instances.

See all answers

Comparisons

AWS Fargate vs Amazon EC2 Auto Scaling

Compared 70% of the time

AWS Lambda vs Amazon EC2 Auto Scaling

Compared 17% of the time

More Amazon EC2 Auto Scaling Competitors

AWS Lambda vs AWS Batch

Compared 37% of the time

Apache Spark vs AWS Batch

Compared 24% of the time

Amazon EC2 vs AWS Batch

Compared 13% of the time

Oracle Compute Cloud Service vs AWS Batch

Compared 10% of the time

More AWS Batch Competitors

Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

September 2025

Download Amazon EC2 Auto Scaling product report

Buyer's Guide

AWS Batch

September 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

September 2025

Free Report: AWS Batch vs. Amazon EC2 Auto Scaling

Find out what your peers are saying about AWS Batch vs. Amazon EC2 Auto Scaling and other solutions. Updated: September 2025.

DOWNLOAD NOW

868,759 professionals have used our research since 2012.

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.