AWS Batch vs Amazon EC2 comparison

Amazon EC2 and AWS Batch are both solutions in the Compute Service category. Amazon EC2 is ranked #6 with an average rating of 9.1, while AWS Batch is ranked #3 with an average rating of 8.4. Amazon EC2 holds a 9.0% mindshare in CS, compared to AWS Batch’s 17.2% mindshare. Additionally, 98% of Amazon EC2 users are willing to recommend the solution, compared to 100% of AWS Batch users who would recommend it.

Amazon EC2

Read 69 Amazon EC2 reviews

1,214 Views
1,105 Comparison Views

98% willing to recommend

AWS Batch

Read 10 AWS Batch reviews

1,328 Views
1,328 Comparison Views

100% willing to recommend

Amazon EC2

AWS Batch

Comparison Buyer's Guide

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Executive SummaryUpdated on May 21, 2025

Amazon EC2 and AWS Batch offer cloud computing solutions but in different niches. Amazon EC2 stands out in user satisfaction for pricing and support, whereas AWS Batch is preferred for unique features despite its higher cost.

Features: Amazon EC2 offers highly flexible and scalable infrastructure that supports a wide range of virtual applications and operating systems. It includes security enhancements and various customization options, making it ideal for businesses needing high scalability and reliable infrastructure. AWS Batch specializes in large-scale parallel processing, providing dynamic resource allocation and seamless integration with other AWS services, catering to users requiring efficient computing for batch jobs.

Room for Improvement: Amazon EC2 could benefit from more streamlined configurations, better AMI upgrades, and transparent pricing. Users have suggested that improved load balancing options and cost transparency would be advantageous. AWS Batch requires enhancements in error handling, documentation, and simpler initial setup. Both services need to address pricing complexity.

Ease of Deployment and Customer Service: Amazon EC2 is versatile in deployment across private and public clouds and is known for relatively easy deployment. However, its customer service experiences vary based on the solutions architects assigned. AWS Batch is robust in both public and hybrid cloud environments, offering responsive support which can sometimes be inconsistent. Both services have strong documentation but could offer better integration assistance.

Pricing and ROI: Amazon EC2's pricing is viewed as higher, yet its flexibility and scalability justify the costs, providing better ROI by reducing infrastructure and staffing costs. The ROI is aligned with traditional setups, showing efficiency savings. AWS Batch is seen as cost-effective, especially for irregular compute demands, offering cost management through spot instances. Although AWS Batch pricing is reasonable for batch processing, EC2's higher costs are balanced by its robust capabilities.

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

Buyer's Guide

AWS Batch vs. Amazon EC2

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

Ranking in Compute Service

6th

Average Rating

8.6

Reviews Sentiment

6.9

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 is 9.0%, up from 7.1% 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	9.0%
Other	73.8%

Compute Service

Featured Reviews

KatlegoMabila

Senior AWS Account Manager at Silicon Overdrive

Offers customization and flexibility with great support

Scalability depends on whether the client wants to scale up or scale down. It decreases resources based on demand. The great aspect of scalability is the flexibility to allow business success to optimize resource solutions and cost efficiency. Another crucial aspect of scalability is auto-scaling. When you have the opportunity to auto-scale, it can't always be available for everything. If you have chosen to integrate with auto-scaling, it's marvellous and doesn't require additional effort. Auto-scaling gives you the edge by using the capacity you have efficiently, scaling up or down as needed. These flexibilities within the EC2 feature instances of AWS play a crucial role in helping me utilize AWS EC2 Intelligent efficiently.

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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

"We find it easy to scale."

"Amazon EC2's most valuable feature I have heard from clients is easy provisioning. Provisioning is very quick and easy."

"The most valuable feature of Amazon EC2 is the computing capacity."

"EC2 provides a lot of flexibility. If you don't want to have a separate on-premise database, you can put it on the cloud with EC2. You can adjust the instance type according to your needs. You select a size and get a certain amount of specific memory, CPUs, etc. You set the redirect limit, and from there, you install the software, database servers, application servers, and whatever you want."

"The best features of Amazon EC2 are its high performance and security."

"The most important aspects are that the solution is scalable and easy to manage."

"EC2 has helped us to deploy various Microsoft applications efficiently. It has also facilitated our workstation operations."

"The most valuable features of Amazon EC2 are ease of use and the services offered."

More Amazon EC2 pros

"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."

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

Cons

"The product could benefit from offering more mixed instance types that combine features from different series to suit diverse workload requirements better."

"Support doesn't share or give insights on OS-based issues. That needs to improve because if someone is buying an EC2 instance with the Windows server and SQL license, the client expects that there will be a minimum level of support."

"The price could be better, and it could be more affordable. Because I run my own servers, the prices are quite high."

"There should be enhanced accessibility from any standpoint. The accessibility should be increased, particularly in scenarios where accessing the software on the Azure platform from the cloud can be complex. Simplifying this process would be beneficial. There are too many steps involved."

"The GUI used to deploy EC2 must be improved."

"Pricing-wise, it is a bit high."

"We're expecting to have Graviton instances. Graviton means it's not internal, it's a low-cost instance. At present time, Graviton is not supported for a few packages."

"In terms of improvement, they could build some client-side desktop tools that provide easier connectivity to Amazon."

More Amazon EC2 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

"When we did the deployment of Amazon EC2 we found it to be less expensive than other solutions."

"For our usage, the cost is approximately $20,000 to $23,000 per month."

"The tool's pricing is not cheap."

"The price can be improved."

"It's expensive, and it could be cheaper."

"There is a license required to use this solution and we pay on a monthly basis."

"It has helped to reduce costs with infrastructure."

"Amazon EC2 is a very expensive solution."

More Amazon EC2 pricing and cost advice

"AWS Batch's pricing is good."

"AWS Batch is a cheap solution."

"The pricing is very fair."

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Top Industries

By visitors reading reviews

Computer Software Company

10%

Financial Services Firm

Transportation Company

Manufacturing Company

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	30
Midsize Enterprise	13
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?

The scalability and elasticity are helpful.

See all answers

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

Advice on Setup Cost, Pricing, and Licensing for EC2: 1. Start Small & Use Free Tier if Possible For new users or small applications, the AWS Free Tier offers limited EC2 usage free for 12 mont...

See all answers

What needs improvement with Amazon EC2?

There are some specific features, such as ML features and AI features, that I would to see included in the next releases of Amazon EC2. Additionally, there is functionality available in Databricks ...

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 Lambda vs Amazon EC2

Compared 17% of the time

AWS Fargate vs Amazon EC2

Compared 15% of the time

Apache Spark vs Amazon EC2

Compared 15% of the time

Apache NiFi vs Amazon EC2

Compared 11% of the time

Zadara vs Amazon EC2

Compared 10% of the time

More Amazon EC2 Competitors

AWS Lambda vs AWS Batch

Compared 37% of the time

Apache Spark vs AWS Batch

Compared 24% of the time

Oracle Compute Cloud Service vs AWS Batch

Compared 10% of the time

AWS Fargate vs AWS Batch

Compared 10% of the time

Amazon EC2 Auto Scaling vs AWS Batch

Compared 5% of the time

More AWS Batch Competitors

Product Reports

Buyer's Guide

Amazon EC2

September 2025

Download Amazon EC2 product report

Buyer's Guide

AWS Batch

September 2025

Download AWS Batch product report

Also Known As

Amazon Elastic Compute Cloud, EC2

Amazon Batch

Overview

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.

Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate them from common failure scenarios.

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

Netflix, Expedia, TimeInc., Novaris, airbnb, Lamborghini

Hess, Expedia, Kelloggs, Philips, HyperTrack

Buyer's Guide

AWS Batch vs. Amazon EC2

September 2025

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