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 #2 with an average rating of 8.9, while AWS Batch is ranked #6 with an average rating of 9.0. Amazon EC2 Auto Scaling holds a 11.9% mindshare in CS, compared to AWS Batch’s 19.1% 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 44 Amazon EC2 Auto Scaling reviews

2,182 Views
1,931 Comparison Views

100% willing to recommend

AWS Batch

Read 4 AWS Batch reviews

3,788 Views
3,540 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: December 2024).

Buyer's Guide

AWS Batch vs. Amazon EC2 Auto Scaling

December 2024

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Helped 824,053 peers since 2012

Categories and Ranking

Amazon EC2 Auto Scaling

Ranking in Compute Service

2nd

Average Rating

8.8

Reviews Sentiment

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Batch

Ranking in Compute Service

6th

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Compute Service category, the mindshare of Amazon EC2 Auto Scaling is 11.9%, up from 10.7% compared to the previous year. The mindshare of AWS Batch is 19.1%, down from 20.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service

Featured Reviews

Poulav Biswas

Senior Technical Lead at Coach Foundation

Well-documented setup process and highly stable solution

We have several instances and applications that we run using WordPress. For that, I needed an easy, secure, and faster solution with different options to back up the website and data. Amazon EC2 offers options to back up data using the S3 version control system, which worked really well for us…

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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."

"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."

"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."

"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."

"Having a load balancer in between is very helpful when you have huge traffic."

"The monitoring tool is helpful."

"The integration capabilities are good."

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

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

"Automation is very hard."

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

"The primary area for improvement is the pricing model."

"The solution could improve by having more automation. Nowadays there is a vast variety of automation. Additionally, infrastructure monitoring could improve."

"The solution's configuration process could be better."

"The product should improve vertical scaling features."

"The pricing could be reduced."

"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."

More Amazon EC2 Auto Scaling cons

"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."

"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."

Pricing and Cost Advice

"The solution is not expensive."

"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."

"The solution pricing varies by service region is mid-range."

"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."

"As far back as I can remember, I have experience with two types of subscriptions. The first was my personal AWS base, and the second was a corporate license. I can't say much about the corporate license, but I recall they sent the bill every month for the personal subscription, though I could be mistaken."

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

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

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

More Amazon EC2 Auto Scaling pricing and cost advice

"The pricing is very fair."

"AWS Batch's pricing is good."

"AWS Batch is a cheap solution."

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824,053 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

17%

University

Government

Financial Services Firm

27%

Computer Software Company

12%

Manufacturing Company

Government

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...

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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.

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?

AWS Batch is a cheap solution.

See all answers

Comparisons

AWS Fargate vs Amazon EC2 Auto Scaling

Compared 63% of the time

AWS Lambda vs Amazon EC2 Auto Scaling

Compared 27% of the time

Apache NiFi vs Amazon EC2 Auto Scaling

Compared 3% of the time

More Amazon EC2 Auto Scaling Competitors

AWS Lambda vs AWS Batch

Compared 55% of the time

Apache Spark vs AWS Batch

Compared 24% of the time

Amazon EC2 vs AWS Batch

Compared 6% of the time

Oracle Compute Cloud Service vs AWS Batch

Compared 5% of the time

Apache NiFi vs AWS Batch

Compared 2% of the time

More AWS Batch Competitors

Product Reports

Buyer's Guide

Amazon EC2 Auto Scaling

December 2024

Download Amazon EC2 Auto Scaling product report

Buyer's Guide

Compute Service

December 2024

Download AWS Batch product report

Also Known As

AWS RAM

Amazon Batch

Learn More

Amazon Web Services (AWS)

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.

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.

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Hess, Expedia, Kelloggs, Philips, HyperTrack

Buyer's Guide

AWS Batch vs. Amazon EC2 Auto Scaling

December 2024

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: December 2024.

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824,053 professionals have used our research since 2012.

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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.