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

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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

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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

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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.

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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

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

"The solution incorporates ease of maintenance and reduction in operational overhead and costs. Patching is also easy."

"Amazon EC2 Auto Scaling has a cool-down time feature called the warmup start."

"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."

"It has the best auto-scaling features."

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

"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."

"Applications deployed on EC2 instances can easily integrate with other AWS services. For example, you can connect your EC2 Auto Scaling group to a tool like CloudWatch for health checks and anomaly detection."

More Amazon EC2 Auto Scaling pros

"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."

"We can easily integrate AWS container images into the product."

"AWS Batch's deployment was easy."

Cons

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

"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."

"Everything works fine already, but sometimes we face slow scaling performance during initialization."

"The product's setup is complex for an intermediate user."

"Sometimes the configuration is not intuitive."

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

"The product does not explain why a particular instance is terminated."

"The product should improve vertical scaling features."

More Amazon EC2 Auto Scaling cons

"When we run a lot of batch jobs, the UI must show the history."

"AWS Batch needs to improve its documentation."

"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 product is expensive."

"Amazon EC2 instances can be very expensive."

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

"Licensing fees are paid on a yearly basis."

"It's cost-effective."

"The product is quite expensive."

"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."

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

More Amazon EC2 Auto Scaling pricing and cost advice

"AWS Batch is a cheap solution."

"The pricing is very fair."

"AWS Batch's pricing is good."

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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...

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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...

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What needs improvement with Amazon EC2 Auto Scaling?

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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?

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

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Oracle Compute Cloud Service vs AWS Batch

Compared 10% of the time

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Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

September 2025

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Buyer's Guide

AWS Batch

September 2025

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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

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