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Saturn Cloud vs TIBCO Data Science comparison

Saturn Cloud and TIBCO are both solutions in the Data Science Platforms category. Saturn Cloud is ranked #10 with an average rating of 10.0, while TIBCO is ranked #25. Saturn Cloud holds a 0.2% mindshare in Data Science Platforms, compared to TIBCO’s 0.6% mindshare. Additionally, 100% of Saturn Cloud users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.
Saturn Cloud
Read 6 Saturn Cloud reviews
  • 163 Views
  • 75 Comparison Views
100% willing to recommend
TIBCO Data Science
Read 4 TIBCO Data Science reviews
  • 335 Views
  • 255 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

TIBCO Data Science and Saturn Cloud are competitive products in data science platforms. TIBCO Data Science stands out for enterprise applications with its robust deployment options, while Saturn Cloud is favored for Python-centric workflows thanks to its cloud-native capabilities.

Features: TIBCO Data Science is equipped with extensive data visualization capabilities, automation tools, and enterprise analytics. Saturn Cloud offers powerful cloud-native environments, integrated Python workflows, and Dask for facilitating big data processing.

Room for Improvement: TIBCO Data Science can enhance its scalability for cloud-native workflows and optimize cloud deployment costs. It may also improve its integration with Python-specific tools. Saturn Cloud could improve its support for non-Python languages and expand its data visualization options. Additionally, enhancing its integration with existing enterprise systems would benefit users.

Ease of Deployment and Customer Service: TIBCO Data Science provides flexible deployment across on-premise, cloud, or hybrid setups with strong customer support. Saturn Cloud offers simpler, cloud-only deployments speeding up implementation with user-friendly services to accelerate time-to-value.

Pricing and ROI: TIBCO Data Science requires a higher initial investment tailored for large enterprises offering extensive functionalities with long-term ROI. Saturn Cloud offers a more accessible pricing model utilizing cloud resources for scalable and cost-efficient solutions, with lower upfront costs.

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To learn more, read our detailed Saturn Cloud vs. TIBCO Data Science Report (Updated: April 2025).
Buyer's Guide
Saturn Cloud vs. TIBCO Data Science
April 2025
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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 Data Science Platforms
10th
Average Rating
10.0
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
AWS Marketplace (14th)
TIBCO Data Science
Ranking in Data Science Platforms
25th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Saturn Cloud is 0.2%, up from 0.1% compared to the previous year. The mindshare of TIBCO Data Science is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

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.
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VS
A straightforward initial setup and good reporting but needs better documentation
It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.
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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 feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"There is plenty of computational resources (both GPU, CPU and disk space)."
"They provide a centralized space for data, code, and results."
"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."
"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 most valuable feature is the ease of setting up visualizations."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"The most valuable feature is the performance."
 

Cons

"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."
"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."
"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."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
"The scripting for customization could be improved."
"I would like the visualization for the map of countries to be more easily configurable."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
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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).
See all answers
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 ...
See all answers
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 ...
See all answers
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Product Reports

Buyer's Guide
Saturn Cloud
April 2025
Saturn Cloud reportDownload Saturn Cloud product report
Buyer's Guide
Data Science Platforms
March 2025
TIBCO Data Science reportDownload TIBCO Data Science product report
 

Also Known As

No data available
Alpine Data Chorus
 

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

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO
 

Sample Customers

Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.
Havas Media, Tipping Point Community, eviCore
Buyer's Guide
Saturn Cloud vs. TIBCO Data Science
April 2025
Free Report: Saturn Cloud vs. TIBCO Data Science
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