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Kubecost vs Saturn Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

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

Kubecost
Ranking in AWS Marketplace
24th
Average Rating
9.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Saturn Cloud
Ranking in AWS Marketplace
14th
Average Rating
10.0
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Data Science Platforms (10th)
 

Mindshare comparison

As of May 2025, in the AWS Marketplace category, the mindshare of Kubecost is 0.2%, down from 0.6% compared to the previous year. The mindshare of Saturn Cloud is 0.1%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AWS Marketplace
 

Featured Reviews

DIRK UYTTERHOEVEN - PeerSpot reviewer
Identifies and eliminates overprovisioning of expensive resources like storage, highly scalable and offers performance
I like the overall product because I can select what monitoring should be enabled and whatnot. In our case, we really focus on performance because it's clear that the price is related to most performance setups. So the more performance, the more expensive. So we look into the performance that the customer needs, and then based upon that feedback from the remote control, we change the parameters. And even the end user will not notice it is not using it, so we just make money without any impact on the end users.
Alessandro Trinca Tornidor - PeerSpot reviewer
Good for creating POCs, training machine learning models, and experimenting without local resources
The project I’m currently working on relies on CUDA, but my local PC does not have any Nvidia GPUs. I’ve found the computational resources and ease of use provided by Saturn Cloud invaluable. Also, there are many ready-to-use Docker images and a rich documentation portal with useful examples. The dashboard for creating a new virtual environment contains almost all the features I needed: environment variable definitions, git repositories cloning directly from the new resources page, and an edit field to define a custom script during the boot process. For this reason, Saturn Cloud.io is a very good solution for creating POCs, training machine learning models, and generally experimenting a bit without worrying about local resources.

Quotes from Members

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

Pros

"I mostly like the dashboards."
"It offers a detailed examination of your cluster, including the types of instances utilized, allocated CPU and RAM, and resource distribution for specific applications."
"The price is reasonable, considering the value it delivers."
"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"They provide a centralized space for data, code, and results."
"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."
"There is plenty of computational resources (both GPU, CPU and disk space)."
"It offered an excellent development environment while not touching our production cloud resources."
"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device."
 

Cons

"There is a significant potential for enhancing it through the incorporation of advanced technologies like AI and generative AI."
"Faster monitoring could potentially improve overall stability in the production environment."
"The integration with other solutions could be improved."
"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."
"Public Clouds integration and sandbox environments would be a true game changer."
"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."
"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning."
"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."
"We'd like to have the capability for installing more libraries."
 

Pricing and Cost Advice

"The cost of the tool may seem nominal compared to the potential savings in infrastructure expenses."
"The real savings come from using Kubecost features like autoscaling and serverless functions to optimize your resource usage. If you treat it like a data center migration without fine-tuning, it might cost more."
"The cost is cheap. Kubecost has an open-source core."
Information not available
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Kubecost?
The price is reasonable, considering the value it delivers.
What is your experience regarding pricing and costs for Kubecost?
The price is reasonable, considering the value it delivers. In all honesty, once you have your optimal design, you could just turn it off and then activate it maybe once every six months or once ev...
What needs improvement with Kubecost?
In future releases, I would like to see faster monitoring because it could potentially improve overall stability in the production environment.
What do you like most about Saturn Cloud?
There is plenty of computational resources (both GPU, CPU and disk space).
What needs improvement with Saturn Cloud?
My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer. Users could bid on unused compute capacity, potentially leading ...
What is your primary use case for Saturn Cloud?
I'm leveraging a cloud-based platform for competitive machine learning. Tight deadlines and resource-intensive models demand powerful hardware. The cloud provides scalable GPUs and RAM, letting me ...
 

Comparisons

No data available
 

Also Known As

Kubecost - Amazon EKS cost monitoring
No data available
 

Overview

 

Sample Customers

Information Not Available
Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.
Find out what your peers are saying about Kubecost vs. Saturn Cloud and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.