Saturn Cloud vs TIBCO Data Science comparison

Saturn Cloud and TIBCO are both solutions in the Data Science Platforms category. Saturn Cloud is ranked #9 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

167 Views
56 Comparison Views

100% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

339 Views
124 Comparison Views

100% willing to recommend

Saturn Cloud

TIBCO Data Science

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.

To learn more, read our detailed Saturn Cloud vs. TIBCO Data Science Report (Updated: June 2025).

Buyer's Guide

Saturn Cloud vs. TIBCO Data Science

June 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

9th

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

AWS Marketplace (17th)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 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

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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Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

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

"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."

"They provide a centralized space for data, code, and results."

"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."

"It offered an excellent development environment while not touching our production cloud resources."

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

"The most valuable feature is the ease of setting up visualizations."

"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."

"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."

Cons

"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."

"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."

"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."

"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."

"The scripting for customization could be improved."

"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."

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Company Size

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Midsize Enterprise

Small Business

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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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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

June 2025

Free Report: Saturn Cloud vs. TIBCO Data Science

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