AWS Batch vs AWS Fargate comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

AWS Batch
Ranking in Compute Service
4th
Average Rating
9.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
AWS Fargate
Ranking in Compute Service
6th
Average Rating
8.6
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Market share comparison

As of June 2024, in the Compute Service category, the market share of AWS Batch is 19.3% and it increased by 5.1% compared to the previous year. The market share of AWS Fargate is 19.3% and it increased by 16.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Compute Service
Unique Categories:
No other categories found
No other categories found
 

Featured Reviews

Larry Singh - PeerSpot reviewer
Nov 7, 2023
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.
JG
Mar 26, 2024
Offers serverless capabilities, self-managed, simplifies ease of use and integrates with other AWS services
If there are any options to manage containers, that would be good. That relates more to the cost point. For example, over the next three months, I'll be making a comparison between solutions like CAST AI and other software-as-a-service platforms that offer Kubernetes management with an emphasis on cost reduction. Instead of deploying in private, you can use CAST AI with any Kubernetes provider and any cloud, for example. This may solve scaling problems. So, if it allows you to reduce costs by four percent or more of your processing expenses, that AI-assisted Kubernetes-managed solution is something to consider. After saving on scaling using containers with a self-managed cloud cluster, I think the next step is to use an additional approach. Cloud providers may help you reduce some costs, but a specialized service focused on optimizing your Kubernetes resources in relation to your container usage could be beneficial. For example, this kind of solution allows you to not only auto-select the instances for cluster nodes based on the current processing load but also define containers that can be spot instances in terms of fault tolerance. In those cases, the solution will deploy your containers on spot instances, distribute your spot-tolerant processes across the cluster, and potentially achieve additional cost reductions. You cannot do that with something like Fargate. That's the next step for a company that needs to scale its processes to another level. Maybe that's worth considering.

Quotes from Members

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

Pros

"AWS Batch's deployment was easy."
"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 manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"We appreciate the simple use of containers within this solution, it makes managing the containers quick and easy."
"AWS Fargate is an easy-to-use tool to simplify setup. You only pay for the resources you use. If you need to quickly create, delete, or scale applications without managing resources like EC2 instances, Fargate is the best service to use."
"AWS Fargate has many valuable services. It does the job with minimal trouble. It's very observable. You can see what's going on and you have logs. You have everything. You can troubleshoot it. It's affordable and it's flexible."
"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 process."
"The most valuable feature of AWS Fargate is its ease of use."
"I like their containerization service. You can use Docker or something similar and deploy quickly without the know-how related to, for example, Kubernetes. If you use AKS or Kubernetes, then you have to have the know-how. But for Fargate, you don't need to have the know-how there. You just deploy the container or the image, and then you have the container, and you can use it as AWS takes care of the rest. This makes it easier for those getting started or if you don't have a strong DevOps team inside your organization."
"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 itself is a stable product. We are quite satisfied with its performance."
 

Cons

"AWS Batch needs to improve its documentation."
"When we run a lot of batch jobs, the UI must show the history."
"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."
"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."
"We faced challenges in vertically scaling our workload."
"If there are any options to manage containers, that would be good. That relates more to the cost point. For example, over the next three months, I'll be making a comparison between solutions like CAST AI and other software-as-a-service platforms that offer Kubernetes management with an emphasis on cost reduction."
"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."
"The main area for improvement is the cost, which could be lowered to be more competitive with other major cloud providers."
"I heard from my team that it's not easy to predict the cost. That is the only issue we have with AWS Fargate, but I think that's acceptable. AWS Fargate isn't user-friendly. Anything related to Software as a Service or microservice architecture is not easy to implement. You're required to have DevOps from your side to implement the solution. AWS Fargate is just a temporary solution for us. When we grow to a certain level, we may use AKS for better control."
"I would like to see the older dashboard instead of the newer version. I don't like the new dashboard."
"We would like to see some improvement in the process documents that are provided with this product, particularly for auto-scaling and other configuration tools that are a bit complicated."
 

Pricing and Cost Advice

"AWS Batch is a cheap solution."
"AWS Batch's pricing is good."
"The pricing is very fair."
"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."
"I rate the price of AWS Fargate a four out of five."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
13%
Manufacturing Company
6%
Educational Organization
5%
Financial Services Firm
26%
Computer Software Company
14%
Manufacturing Company
5%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 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?
If there are any options to manage containers, that would be good. That relates more to the cost point. For example, over the next three months, I'll be making a comparison between solutions like C...
What advice do you have for others considering AWS Fargate?
The maturity you have in deploying serverless capabilities is crucial. For example, if your process takes less than 15 minutes, then you should consider AWS Lambda or other cloud function services....
 

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: May 2024.
787,061 professionals have used our research since 2012.