F5 BIG-IP Virtual Edition vs Saturn Cloud comparison

F5 BIG-IP Virtual Edition

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Comparison Buyer's Guide

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Executive Summary

We performed a comparison between F5 BIG-IP Virtual Edition and Saturn Cloud based on real PeerSpot user reviews.

Find out in this report how the two AWS Marketplace solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed F5 BIG-IP Virtual Edition vs. Saturn Cloud Report (Updated: March 2025).

F5 BIG-IP Virtual Edition vs. Saturn Cloud

March 2025

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Helped 846,617 peers since 2012

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

F5 BIG-IP Virtual Edition

Ranking in AWS Marketplace

12th

Average Rating

8.6

Number of Reviews

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

Ranking in other categories

Data Science Platforms (10th)

Mindshare comparison

As of April 2025, in the AWS Marketplace category, the mindshare of F5 BIG-IP Virtual Edition is 0.5%, down from 2.0% 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

Kodanda Ramji C.S

Manager | Engineering | Cloud Managed Services at Sify Technologies

Offers easy-to-use integration capabilities

It is a scalable solution. In F5 BIG-IP i5800, if you have assigned a single CPU and memory for a virtual instance and if it increases, you can just add a CPU and memory to the existing vCMP. What you have to do is spin one more virtual instance with the two CPUs and double the memory, like eight GB memory, for example. You can't just increase the existing VirtualBox. You have to create another VirtualBox parallel, download the configurations, and import it. My company provides one banking application to around ten customers. My company has around seven virtual instances and seven applications, each application having around 70 customers running on one F5 BIG-IP i5800. My company has created seven VirtualBox.

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Alessandro Trinca Tornidor

Sviluppatore software at TeamSystem

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.

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Quotes from Members

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

Pros

"The tool's investment is less than a physical device."

"It has DoS layer 7 protection, which not many vendors have."

"I have a specific issue with the network interface connector, the NIC. We're limited to a maximum of two NICs in a virtualized environment. It's a limitation of the tool."

"The integration capabilities of the product are easy to use, and there is no complexity involved in it."

"The features that I like include LTM and Global Traffic Manager (GTM)."

"It's easy to use, and they have good support."

"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."

"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."

"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."

Cons

"The tool has limitations with respect to code and RAM."

"On-the-go upgrades are an option that the tool currently lacks, making it an area where improvements are required."

"It's expensive and could be cheaper."

"BIG-IP could improve in supporting microservices, for example, in Docker and Kubernetes environments."

"F5 BIG-IP Virtual Edition is a heavy system that needs a lot of CPU, memory, and hard disk."

"I have a specific issue with the network interface connector, the NIC. We're limited to a maximum of two NICs in a virtualized environment. It's a limitation of the tool."

"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."

"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."

"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."

Pricing and Cost Advice

"My company's customers need to make payments for the licensing charges attached to the product. It is an expensive product."

"F5 BIG-IP Virtual Edition is an expensive solution, but it's worth the price."

"I would rate the pricing a three out of ten, with ten being expensive."

"The pricing is standard."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

Retailer

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about F5 BIG-IP Virtual Edition?

The integration capabilities of the product are easy to use, and there is no complexity involved in it.

What needs improvement with F5 BIG-IP Virtual Edition?

It's expensive and could be cheaper. At the moment, I can't think of anything to improve.

What advice do you have for others considering F5 BIG-IP Virtual Edition?

The solution is very good. I would rate the solution maybe ten out of ten.

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 ...

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Product Reports

F5 BIG-IP Virtual Edition

April 2025

Download F5 BIG-IP Virtual Edition product report

Download Saturn Cloud product report

March 2025

Overview

When you need to move faster than hardware allows, BIG-IP Virtual Editions (VEs) deliver the application services you need in a more agile and flexible form factor. Get the scalability, security, and automatability BIG-IP products are known for—all in software designed for use in single-, hybrid-, or multi-cloud architectures.

Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.

Saturn Cloud is a good choice for data scientists and machine learning engineers who need a scalable, flexible, and easy-to-use environment.

Saturn Cloud also makes it easy to collaborate with other data scientists and machine learning engineers. You can share projects, notebooks, and data with others, and you can track changes to your work.

Sample Customers

Information Not Available

Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.