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 #4 with an average rating of 9.0, while AWS Batch is ranked #6 with an average rating of 8.3. Amazon EC2 Auto Scaling holds a 7.4% mindshare in CS, compared to AWS Batch’s 11.6% 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 51 Amazon EC2 Auto Scaling reviews

1,202 Views
1,202 Comparison Views

100% willing to recommend

AWS Batch

Read 10 AWS Batch reviews

1,345 Views
1,345 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: February 2026).

Buyer's Guide

AWS Batch vs. Amazon EC2 Auto Scaling

February 2026

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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

4th

Average Rating

9.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Batch

Ranking in Compute Service

6th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 7.4%, down from 11.2% compared to the previous year. The mindshare of AWS Batch is 11.6%, down from 20.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service Market Share Distribution
Product	Market Share (%)
Amazon EC2 Auto Scaling	7.4%
AWS Batch	11.6%
Other	81.0%

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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Ajeet Kumar Singh

Software Engineering Manager – Digital Production Optimization at Yara International ASA

Flexibility in planning and scheduling with containerized workload management has significantly improved computational efficiency

AWS Batch is highly flexible. It allows users to plan, schedule, and compute on containerized workloads. In previous roles, I utilized it for diverse simulations, including on-demand and scheduled computations. It facilitates creating clusters tailored to specific needs, such as memory-centric or CPU-centric workloads, and supports scaling operations massively, like running one hundred thousand Docker containers simultaneously.

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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 ability to specify minimum and maximum instance numbers during configuration is the best feature of Amazon EC2 Auto Scaling."

"Service for launching or terminating Amazon EC2 instances, with good scalability and stability."

"Auto-scaling is a good feature."

"We appreciate that this solution allows us to run all of our severs through it, meaning that our workloads are mainly on the EC2 instance only."

"Sometimes, Auto Scaling is more beneficial, and sometimes, Reserved Instances are preferred, especially for longer-term usage."

"The product's most valuable features are high availability and persistence."

"The initial setup is straightforward."

"The documentation is good."

More Amazon EC2 Auto Scaling pros

"The main feature I like about AWS Batch is its scalability; whether ten extraction jobs or ten thousand jobs are running, it works seamlessly and scales seamlessly."

"The stability of AWS Batch is impeccable; we have run thousands of jobs without encountering any problems, and AWS Batch consistently performs as expected."

"AWS Batch's deployment was easy."

"AWS Batch is invaluable for parallelizing processes and samples, which is essential for our large data sets, such as terabytes of genome data."

"AWS Batch is a cost-effective way to perform batch processing, primarily using spot instances and containers."

"I appreciate that AWS Batch works with EC2, allowing me to launch jobs and automatically spin up the EC2 instance to run them; when the jobs are completed, the EC2 instance shuts down, making it cost-effective."

"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 is highly flexible; it allows users to plan, schedule, and compute on containerized workloads, create clusters tailored to specific needs like memory-centric or CPU-centric workloads, and supports scaling operations massively, like running one hundred thousand Docker containers simultaneously."

More AWS Batch pros

Cons

"The product should improve vertical scaling features."

"Scalability can be improved."

"When creating a new instance there is a set of questions that have to be answered, and this is something that can be simplified."

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

"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."

"There should be an AWS instance in South Africa, where the latency would be even lower. It might happen soon since AWS has recently opened more data centres in Nigeria. AWS may extend its reach to South Africa, and offer hosted CLI servers there. Most of the problems with AWS are not to do with the solution itself but with configuration. It is something on design, more or less."

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

"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."

"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."

"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."

Pricing and Cost Advice

"Pricing could be a little bit more competitive."

"The product's pricing depends on the traffic and workload."

"The product is cheap."

"Licensing fees are paid on a yearly basis."

"The product is quite expensive."

"The licences for this solution are based on the number of instances. This determines the EC2 type that is used and this is then priced accordingly."

"It's cost-effective."

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

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

10%

Manufacturing Company

University

Marketing Services Firm

Financial Services Firm

30%

Manufacturing Company

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	9
Large Enterprise	27

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?

I don't work with predictive scaling. I know this feature, but I have never worked with it. For me, availability is something different. If you want to set up your application to be highly availabl...

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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.

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

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Compared 12% of the time

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Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

February 2026

Download Amazon EC2 Auto Scaling product report

Buyer's Guide

AWS Batch

February 2026

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

February 2026

Free Report: AWS Batch vs. Amazon EC2 Auto Scaling

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