Saturn Cloud vs TetraScience comparison

Saturn Cloud and TetraScience are both solutions in the AWS Marketplace category. Saturn Cloud is ranked #17 with an average rating of 10.0, while TetraScience is ranked #96 with an average rating of 6.5. Saturn Cloud holds a 0.1% mindshare in AWSM, compared to TetraScience’s 0.1% mindshare. Additionally, 100% of Saturn Cloud users are willing to recommend the solution, compared to 50% of TetraScience users who would recommend it.

Saturn Cloud

Read 6 Saturn Cloud reviews

154 Views
66 Comparison Views

100% willing to recommend

TetraScience

Read 2 TetraScience reviews

120 Views
29 Comparison Views

50% willing to recommend

Saturn Cloud

TetraScience

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Saturn Cloud and TetraScience 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 Saturn Cloud vs. TetraScience Report (Updated: June 2025).

Buyer's Guide

Saturn Cloud vs. TetraScience

June 2025

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Helped 859,129 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

Saturn Cloud

Ranking in AWS Marketplace

17th

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Data Science Platforms (9th)

TetraScience

Ranking in AWS Marketplace

96th

Average Rating

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the AWS Marketplace category, the mindshare of Saturn Cloud is 0.1%, down from 0.6% compared to the previous year. The mindshare of TetraScience is 0.1%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AWS Marketplace

Featured Reviews

Filip Stefanovski

Works at a tech consulting company with 51-200 employees

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.

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Varun Khandavalli

Senior Specialist Engineering Dev. & Integration at a manufacturing company with 10,001+ employees

Efficient data integration and good automation with challenging configurability

The application has a difficult-to-use parsing capability, which requires a lot of reengineering when the use case isn't specifically met. The application also lacks capabilities within its terminal commands that are not available in their GUI. It requires a lot of configurability, which could be streamlined for an enterprise application user.

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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

"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)."

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

"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 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."

"The crawler agents they provide, as well as TetraScience exclusive parsers, allow for specific instruments that we use in our labs with proprietary formats to extract data and put it into more standard formats for various purposes."

"The ingestion engines were pretty good."

Cons

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

"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."

"We'd like to have the capability for installing more libraries."

"Public Clouds integration and sandbox environments would be a true game changer."

"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."

"While functional during ingestion workflows, the automation toolkit required manual processes."

"The application has a difficult-to-use parsing capability, which requires a lot of reengineering when the use case isn't specifically met."

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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 Saturn Cloud?

There is plenty of computational resources (both GPU, CPU and disk space).

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What needs improvement with Saturn Cloud?

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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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What needs improvement with TetraScience?

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What is your primary use case for TetraScience?

TetraScience is a platform that integrates instruments into a laboratory environment into other software applications that can help leverage the data. In most pharma companies, the application is u...

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What advice do you have for others considering TetraScience?

I would approach with caution. The platform has a high knowledge gap and the proprietary nature of its parsers and crawling agents. Before approaching TetraScience, have your use case in hand and u...

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Comparisons

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Product Reports

Buyer's Guide

Saturn Cloud

May 2025

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Buyer's Guide

AWS Marketplace

June 2025

Download TetraScience product report

Overview

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.

Saturn Cloud

TetraScience liberates, unifies, and transforms your raw data into more-than-FAIR, AI-native data.
We bring this AI-native data to life in a rapidly growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes.
Only the Tetra Scientific Data and AI Cloud can liberate your data, engineer it for your most demanding scientific use cases and AI initiatives, and future-proof it so you’re never locked into vendor walled gardens again.

TetraScience

Sample Customers

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

Information Not Available

Buyer's Guide

Saturn Cloud vs. TetraScience

June 2025

Free Report: Saturn Cloud vs. TetraScience

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We monitor all AWS Marketplace reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.