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AWS Batch vs AWS Fargate comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 21, 2025

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

AWS Batch
Ranking in Compute Service
5th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
10
Ranking in other categories
No ranking in other categories
AWS Fargate
Ranking in Compute Service
2nd
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Compute Service category, the mindshare of AWS Batch is 18.9%, up from 15.6% compared to the previous year. The mindshare of AWS Fargate is 12.9%, down from 18.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
 

Featured Reviews

Larry Singh - PeerSpot reviewer
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.
Subrata Mukherjee - PeerSpot reviewer
Boost demand response with cost-efficient serverless architecture
We are a venture builder company, and if we select AWS for our product. Our design is based on a serverless architecture model. ECS Fargate is the most convenient way in terms of scalability, integration, and cost control Thanks to the serverless model and easy integration features, a few…

Quotes from Members

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

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."
"If you create your deployment with a good set of rules for how to scale in, you can just set it and forget it."
"Fargate is beneficial for hosting our solutions and providing workflow management, creating legal documents, and delivering business intelligence."
"The most valuable feature of AWS Fargate is its ability to run on demand without the constant run time of basic resources."
"AWS Fargate has definitely impacted our organization positively because before that, we couldn't accommodate the workload requirements as flexibly as we can with Fargate."
"We appreciate the simple use of containers within this solution, it makes managing the containers quick and easy."
"It allows for focusing on applications instead of managing infrastructure."
"Fargate's integration with other AWS services is really good."
"All AWS services allow me to manage a wide range of applications and services."
 

Cons

"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."
"AWS Batch needs to improve its documentation."
"AWS Fargate needs improvement in terms of setup complexity."
"Sometimes, Fargate can be really hard to configure."
"The main area for improvement is the cost, which could be lowered to be more competitive with other major cloud providers."
"There is a tool named Compose that helps in converting the Docker Compose file into a Kubernetes file. For ECS and Fargate, AWS reads a Dockerfile and helps with conversion. However, I am uncertain if it's ready for deployment after conversion."
"Challenges include higher costs for smaller clients, limited control over underlying infrastructure customization, and potential latencies during task startup."
"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."
"There are features that could be added or enhanced."
"We faced challenges in vertically scaling our workload."
 

Pricing and Cost Advice

"AWS Batch is a cheap solution."
"The pricing is very fair."
"AWS Batch's pricing is good."
"I rate the price of AWS Fargate a four out of five."
"We would advise that this solution has a slightly-higher price point than others on the market. There is a free plan available for start-ups, but the free and lower range licensing models do not provide the full functionality."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
9%
Manufacturing Company
7%
University
7%
Financial Services Firm
20%
Computer Software Company
11%
Government
10%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
What do you like most about AWS Batch?
AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling.
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.
What do you like most about AWS Fargate?
The most valuable feature of Fargate is that it's self-managed. You don't have to configure your own clusters or deploy any Kubernetes clusters. This simplifies the initial deployment and scaling p...
What needs improvement with AWS Fargate?
Currently, I think that the program is great the way it is, and maybe we use less than 50% of the current features of the platform. For example, we have been evaluating Dask with Python to work wit...
What advice do you have for others considering AWS Fargate?
My team hasn't used AWS Fargate's capability for automatic scaling in our applications, even when they knew about it; they were very new to using these features. AWS Fargate's security features wer...
 

Comparisons

 

Also Known As

Amazon Batch
No data available
 

Overview

 

Sample Customers

Hess, Expedia, Kelloggs, Philips, HyperTrack
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about AWS Batch vs. AWS Fargate and other solutions. Updated: July 2025.
865,164 professionals have used our research since 2012.