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Cloud Security Connector for Zscaler 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

Cloud Security Connector fo...
Ranking in AWS Marketplace
16th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Saturn Cloud
Ranking in AWS Marketplace
17th
Average Rating
10.0
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Data Science Platforms (9th)
 

Mindshare comparison

As of June 2025, in the AWS Marketplace category, the mindshare of Cloud Security Connector for Zscaler is 0.7%, down from 2.2% 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

Deepak  Nagar - PeerSpot reviewer
A fast and scalable solution that is secure and can be modified according to the customers’ requirements
The tool is easy to deploy. We have to deploy the agent on the user’s machine. The agent takes 20 minutes to be installed. The tool is deployed in the data center. If the prerequisites are set up already, the product can be deployed in two or three hours. It is a cloud-based solution. We need two support engineers and one senior resource with more than seven years of experience in networking to deploy and maintain the tool. We need one product manager for coordination.
Filip Stefanovski - PeerSpot reviewer
Easy to use with good performance and collaborative features
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 to significant cost savings during off-peak hours or for less time-critical tasks. Spot instances empower users with tighter budgets or fluctuating workloads to strategically leverage lower-cost resources for development, experimentation, and background tasks. This frees up on-demand instances for truly time-sensitive work.

Quotes from Members

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

Pros

"The solution is secure."
"It is very useful ............visibility on the end-user,"
"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"It offered an excellent development environment while not touching our production cloud resources."
"There is plenty of computational resources (both GPU, CPU and disk space)."
"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."
"They provide a centralized space for data, code, and results."
"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

"The connectivity could be faster."
"If there are any issues at the network level, such as users working from home, then it is very hard to catch up with them and resolve issues on the end-user machine."
"We'd like to have the capability for installing more libraries."
"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."
"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."
"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."
"Public Clouds integration and sandbox environments would be a true game changer."
"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."
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Top Industries

By visitors reading reviews
Insurance Company
23%
Computer Software Company
15%
Manufacturing Company
13%
Financial Services Firm
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cloud Security Connector for Zscaler?
It is a little bit too costly because of the maintenance and the product scalability. It is a little bit costly compared to other products, and it has more features compared to them. That is where ...
What needs improvement with Cloud Security Connector for Zscaler?
If there are any issues at the network level, such as users working from home, then it is very hard to catch up with them and resolve issues on the end-user machine. If the user doesn't have intern...
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 ...
 

Overview

 

Sample Customers

Information Not Available
Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.
Find out what your peers are saying about Cloud Security Connector for Zscaler vs. Saturn Cloud and other solutions. Updated: April 2025.
857,028 professionals have used our research since 2012.