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AWS Batch vs AWS Lambda comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 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
6th
Average Rating
9.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
AWS Lambda
Ranking in Compute Service
1st
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
83
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Compute Service category, the mindshare of AWS Batch is 19.7%, down from 20.4% compared to the previous year. The mindshare of AWS Lambda is 20.4%, down from 27.0% 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.
Wai L Lin O - PeerSpot reviewer
A serverless solution with easy integration features
We use AWS Lambda because it provides a solution for our needs without requiring us to manage our infrastructure. With the tool, we only pay for the resources we use. Additionally, it is straightforward to implement and integrates with other services like API Gateway. The tool's serverless nature has had the most significant impact on our workflow. I find it particularly attractive because it eliminates the need for managing servers. In my previous experience, managing upgrades and updates was quite challenging. The solution's integration process with other AWS services was relatively easy. We primarily use AWS services such as EventBridge for scheduling processes and log management.

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."
"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."
"The utilization of containers is particularly beneficial in overcoming the size limitations imposed on Lambda functions which not only allows us to work around these constraints but also contributes to the improvement and maintenance of our code."
"Lambda has improved our organization by making it possible to transform data."
"We moved our users into the Amazon Cognito pool, so it helps us to standardize our security practices, approaches, etc. We can customize Lambda for authentication to integrate it with API Gateway and other services."
"It is a scalable solution."
"The solution works for small applications. It is a serverless tool that is quick to spin up. We needn’t consider anything in the bag."
"Some of the most valuable features are that it's easy to install and use. The performance is also good."
"AWS Lambda is interlinked with CloudWatch. When we have any errors we can directly go there and check the CloudWatch logs. Additionally, we can run it very fast and we can increase the RAM size and other components."
"AWS Lambda is cost-effective, providing noticeable cost savings."
 

Cons

"When we run a lot of batch jobs, the UI must show the history."
"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."
"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've had to revamp the way that it works due to that 15-minute timeout limitation."
"The runtime for the solution can be improved."
"Memory limitation is one of the weaknesses of AWS Lambda and as a result, we have to use several Lambda, instead of just one. Recently, I met with an Amazon employee, who is responsible for Lambda as a product. It appears Amazon has some plans with Lambda, so I don’t have to add something to the additional features."
"AWS Lambda should improve its compatibility with the language used to write the code."
"AWS Lambda needs to improve its stability."
"Another challenge I've noticed is that there is a limit to the environment variables such as the 4 KB limit. Although, the advice is to use parameters or other things to store the details when the limit has exceeded the data, this adds additional intensity to the application. If the size limits for environment variables can be revealed, it would be helpful. Even if we have to pay for it, at least we would know that we are not dealing with latency. So, I would like to see the size of the environment variables increased."
"The execution time could be better. One of the major limitations is the time period because it doesn't give you more than seven minutes. So, before thinking about Lambda, you should think through your use case and ensure it's a good fit. Otherwise, you can use batch, step functions, or other methods. Reports and the monitoring board could also be improved in terms of alerts. The threshold alerts are there but can be improved. It takes some time to get used to these methods and get the hang of them."
"We can write anything as code, but the solution will not give proper error information."
 

Pricing and Cost Advice

"AWS Batch is a cheap solution."
"AWS Batch's pricing is good."
"The pricing is very fair."
"The solution is free of cost for the first year, and after that, it becomes expensive."
"The solution is part of the AWS subscription model that is paid annually."
"The price of the solution is reasonable."
"Price-wise, AWS Lambda is a five out of ten."
"It costs maybe less than $10 per month in my use case."
"The solution's price is average."
"Lambda is an affordable solution. They offer free requests every month and charge per the compute time. If you are working in a big organization, usually AWS offer a savings plan where you get approximately 70% discount on pricing."
"You're not paying for a server if you're not using it, which is another reason I like it. So, you're not paying if you're not using it. It scales, and you're charged based on usage. It all depends on the use case. Some can be extremely inexpensive if you have very low volume transaction rates. That way, you don't have to fire up and absorb the cost of the servers just sitting there waiting for a transaction to come through. You're only paying when you use it. So, depending upon the use model, Lambda could be highly efficient relative to an EC2 solution. You don't have to have things reallocated."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
12%
Manufacturing Company
7%
Government
6%
Educational Organization
64%
Financial Services Firm
9%
Computer Software Company
5%
Manufacturing Company
3%
 

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 Lambda?
The tool scales automatically based on the number of incoming requests.
What is your experience regarding pricing and costs for AWS Lambda?
AWS Lambda is cheaper compared to running an instance continuously. You only pay for what you use, making it cost-effective.
What needs improvement with AWS Lambda?
AWS Lambda is a bit difficult to set up if someone doesn't know how to code. It would be helpful to have a chatbot or resource that can guide users through the process, especially for those not pro...
 

Comparisons

 

Also Known As

Amazon Batch
No data available
 

Overview

 

Sample Customers

Hess, Expedia, Kelloggs, Philips, HyperTrack
Netflix
Find out what your peers are saying about AWS Batch vs. AWS Lambda and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.