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OpenVPN Community Edition - powered by TurnKey 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

OpenVPN Community Edition -...
Ranking in AWS Marketplace
17th
Average Rating
9.0
Number of Reviews
2
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 OpenVPN Community Edition - powered by TurnKey is 0.3%, down from 2.6% 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

An-Pham - PeerSpot reviewer
Offers a user-friendly UI and remote access of PCs to users
The product's initial setup phase was a little bit complex because there was a need to work on the configuration part. For the deployment process, you need access to an executable file, which can be a .ASA file, along with a configuration file to edit. When you open the application, you have to put in the config file in the software and then run it to make it work. The solution is deployed on an on-premises model. The solution can be deployed in a few hours. If you have some assistance from the IT service or IT team, the deployment can be done within a few hours.
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

"The most valuable features of the solution are its stability and user-friendly UI."
"We use the solution to connect to our internal infrastructure in our data center."
"There is plenty of computational resources (both GPU, CPU and disk space)."
"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."
"It offered an excellent development environment while not touching our production cloud resources."
"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."
"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."
 

Cons

"The product's initial setup phase is not straightforward, making it an area where improvements are required."
"I would like to get less updates from the solution."
"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."
"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."
"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."
"We'd like to have the capability for installing more libraries."
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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 OpenVPN Community Edition - powered by TurnKey?
The most valuable features of the solution are its stability and user-friendly UI.
What advice do you have for others considering OpenVPN Community Edition - powered by TurnKey?
We have one system administrator who maintains this product on the server side. OpenVPN Community Edition is small, convenient for our purposes, and works fine. I would recommend the solution to ot...
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
 

Overview

 

Sample Customers

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