Dataiku vs Saturn Cloud comparison

Dataiku and Saturn Cloud are both solutions in the Data Science Platforms category. Dataiku is ranked #2 with an average rating of 8.2, while Saturn Cloud is ranked #20 with an average rating of 10.0. Dataiku holds a 5.2% mindshare in Data Science Platforms, compared to Saturn Cloud’s 1.2% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of Saturn Cloud users who would recommend it.

Dataiku

Read 21 Dataiku reviews

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7,215 Comparison Views

100% willing to recommend

Saturn Cloud

Read 7 Saturn Cloud reviews

2,003 Views
761 Comparison Views

100% willing to recommend

Dataiku

Saturn Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

Dataiku and Saturn Cloud are both leaders in the data science and machine learning sector. While Dataiku shines with its collaborative capabilities, Saturn Cloud's strength lies in offering scalability and advanced computational options.

Features: Dataiku provides tools for team collaboration, intuitive data preparation, and automated machine learning processes, enabling seamless interaction among team members. Saturn Cloud offers high-performance computing abilities, scalability with GPU support, and Dask-powered data handling, focusing on meeting computational demands efficiently.

Room for Improvement: Dataiku could enhance its scalability options and GPU support to cater to more computationally intensive projects. Additionally, integrating some high-performance computing features might add value. Saturn Cloud may improve by incorporating more collaborative features and user-friendly interfaces. Enhancing options for hybrid deployment could also broaden its applicability across different business environments.

Ease of Deployment and Customer Service: Dataiku offers both on-premise and cloud deployment, providing flexibility in setup options. Its customer service is responsive, ensuring user queries are addressed promptly. Saturn Cloud primarily supports cloud deployment, with straightforward scaling facilities that appeal to cloud-dependent organizations. Both platforms offer commendable support, though Dataiku's diverse deployment methods give it an edge.

Pricing and ROI: Dataiku's high initial setup costs might be offset by the return on investment through efficient project completion and strengthened team collaboration. Saturn Cloud provides scalable pricing models, making it cost-effective for large-scale computational needs. While Dataiku requires a higher upfront investment, its collaborative tools often justify the expense, whereas Saturn Cloud's pricing aligns well with projects requiring scalability and vast computational resources.

To learn more, read our detailed Dataiku vs. Saturn Cloud Report (Updated: June 2026).

Buyer's Guide

Dataiku vs. Saturn Cloud

June 2026

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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:

ROI

Sentiment score

4.9

Dataiku streamlines cross-functional projects for data scientists, enhancing compliance and suggesting a shift to consumption-based pricing.

Sentiment score

6.2

Saturn Cloud users reported 50% more compute time, tenfold productivity increase, and exceeded expectations despite perceived expense.

The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

It is a good return on investment since it helps save a lot of time, and it's easy for my teammates to work cross-functionally on the same project.

reviewer2811273

Data Scientist at a tech vendor with 51-200 employees

For more quotes and insights, download the Dataiku report

I have seen a return on investment, as I would say it has 50% more compute time, which makes things 10 times better than its counterparts and overall increases productivity in my organization.

Patel_Dhulva

Project Superintendent at Teshama Group

For more quotes and insights, download the Saturn Cloud report

Customer Service

Sentiment score

5.3

Dataiku customer service offers quick responses and varying support experiences, with local partnerships aiding in industry-specific assistance.

Sentiment score

10.0

Saturn Cloud provides exceptional 24/7 customer support, praised for quick, friendly, and proficient issue resolution with high ratings.

Dataiku partners with local industry experts who understand the business better and provide support.

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

The support team does not provide adequate assistance.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

They should not take the complaints so lightly.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

For more quotes and insights, download the Dataiku report

Customer support for Saturn Cloud is very proactive, responsive, and available 24/7.

Patel_Dhulva

Project Superintendent at Teshama Group

For more quotes and insights, download the Saturn Cloud report

Scalability Issues

Sentiment score

5.8

Dataiku offers scalable solutions with cloud integration, supporting expansion and seamless team adaptation, despite minor performance concerns with large data.

Sentiment score

8.9

Saturn Cloud provides significant scalability with configurable resources, supporting large data volumes and versatile computational scenarios effectively.

Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

Dataiku's scalability is pretty good; I can scale the projects very easily, and clear guidance is given as well.

Manikya Arora

Solution Architect at a pharma/biotech company with 10,001+ employees

For more quotes and insights, download the Dataiku report

Saturn Cloud's scalability is excellent.

Patel_Dhulva

Project Superintendent at Teshama Group

For more quotes and insights, download the Saturn Cloud report

Stability Issues

Sentiment score

6.9

Dataiku is stable for most users, though some experience issues with complex tasks, updates, and data quality variations.

Sentiment score

8.2

Saturn Cloud is highly reliable with 100% uptime, surpassing Google Colab and Azure Notebooks in stability and dependability.

It would help if there was a backup proposition in place to avoid hampering our work due to updates.

Shubhamkumar Gomar

Senior Data Scientist at Deloitte

For around ten percent of the day, it is usually down, and we are unable to do work on it.

reviewer2811273

Data Scientist at a tech vendor with 51-200 employees

In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.

Ravi-Srivastava

Data Scientist at Ericsson

For more quotes and insights, download the Dataiku report

No quotes available

For more quotes and insights, download the Saturn Cloud report

Room For Improvement

Dataiku faces challenges like high cost, complex interface, and limited support, requiring improvements in integration, visualization, and documentation.

Saturn Cloud users want improved pricing, expanded support, intuitive interfaces, diverse Docker images, and enhanced integration options.

Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.

Durgesh-Singh

Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees

The license is very expensive.

Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the Dataiku report

Saturn Cloud provides excellent computational resources and reliable uptime.

Patel_Dhulva

Project Superintendent at Teshama Group

For more quotes and insights, download the Saturn Cloud report

Setup Cost

Dataiku's pricing is high and varies, with enterprise expense concerns, yet it's relatively affordable for large companies.

Saturn Cloud provides an affordable, transparent pricing structure with a popular free plan ideal for scalable, enterprise data science solutions.

There are no extra expenses beyond the existing licensing cost.

Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

The pricing for Dataiku is very high, which is its biggest downside.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

For more quotes and insights, download the Dataiku report

The prices are relatively affordable, making it a very cost-effective solution for us.

Patel_Dhulva

Project Superintendent at Teshama Group

For more quotes and insights, download the Saturn Cloud report

Valuable Features

Dataiku offers intuitive tools for data preparation and integration, supporting collaboration, scalability, and efficiency for diverse teams.

Saturn Cloud offers scalable resources, collaborative tools, and cost-effective machine learning support, enhancing accessibility for academia and industry.

This feature is useful because it simplifies tasks and eliminates the need for a data scientist.

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

It offers most of the capabilities required for data science, MLOps, and LLMOps.

reviewer1525251

Cognitive Business Operation at a consultancy with 10,001+ employees

For more quotes and insights, download the Dataiku report

The compute availability to run experiments in protein language modeling and molecular simulation is very great.

Patel_Dhulva

Project Superintendent at Teshama Group

For more quotes and insights, download the Saturn Cloud report

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Saturn Cloud

Ranking in Data Science Platforms

20th

Average Rating

9.8

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Science Platforms category, the mindshare of Dataiku is 5.2%, down from 13.0% compared to the previous year. The mindshare of Saturn Cloud is 1.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	5.2%
Saturn Cloud	1.2%
Other	93.6%

Data Science Platforms

Featured Reviews

Shubhamkumar Gomar

Senior Data Scientist at Deloitte

Visual workflows have streamlined healthcare analytics and have reduced reporting time significantly

In terms of improvement, I cannot comment on the LLMs or the agentic view as I have not used them yet. However, I feel that better documentation is necessary. Dataiku should establish a stronger community since this is proprietary software, where users can share knowledge. Although they have some community interaction, it is often challenging to find assistance when stuck. For example, when I was new to Dataiku and trying to use an external optimization tool such as CPLEX, I struggled with resource directory linking to a project's notebook. Detailed documentation and community discussions could have significantly alleviated these issues for users such as myself.

Read full review

Patel_Dhulva

Project Superintendent at Teshama Group

Interface has needed more clarity yet has supported faster GPU projects and learning

I would say that the ability to monitor GPU utilization and NVLink bandwidth inside Jupyter is one of the best features for me. It is one of the best value-for-money cloud platforms that is easy to use with good support. It is clean and neat, making it easy for freshers to use. Integration is easier than other clouds, and even for pre-trial, there are many features. Anyone can easily implement Git and code with the cloud. The usage frequency is also very high because it is very affordable. Hugo, the CTO, has been extremely helpful and responsive even at odd times. That is the support team. The compute availability to run experiments in protein language modeling and molecular simulation is very great.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

Construction Company

27%

Comms Service Provider

13%

Healthcare Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	2
Large Enterprise	13

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?

The licenses are a bit high for companies that are still hesitating to get started with using Dataiku. For my personal projects, I used the thirty-day free trial. Regarding my company, I did not ha...

See all answers

What needs improvement with Dataiku Data Science Studio?

I have no suggestions for improvements because it's all good; it just sometimes lags a lot, and I don't know if the server is full or what, but it sometimes takes a lot of time while loading and re...

See all answers

What is your primary use case for Dataiku Data Science Studio?

My main use case for Dataiku involves ETL pipelines, mainly for data analysis, and I majorly use SQL queries for that. For ETL pipelines and data analysis, I had to create the output by combining a...

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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FICO Decision Management vs Saturn Cloud

Compared 6% of the time

JFrog DevOps Cloud Platform vs Saturn Cloud

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Product Reports

Buyer's Guide

Dataiku

June 2026

Download Dataiku product report

Buyer's Guide

Saturn Cloud

May 2026

Download Saturn Cloud product report

Also Known As

Dataiku DSS

No data available

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Dataiku

Saturn Cloud is a platform optimized for machine learning tasks with tools for distributed computing and resource scalability. With its support for multiple programming languages and libraries, it provides an environment conducive to experimentation and prototyping.

Saturn Cloud offers a high-performance computing experience with Dask cluster support, facilitating distributed computing and resource scaling. The integration with Jupyter environments allows seamless transitioning for users accustomed to using these tools. The platform provides GPU support, which is particularly beneficial for projects involving reinforcement learning and deep learning. Users have found the pre-configured environments and GitHub integration valuable in streamlining setup, prototyping, and testing processes, enhancing overall efficiency. Customization through Docker images, SSH access, and the availability of free computing resources provide added flexibility and cost-effectiveness.

What are Saturn Cloud's essential features?

Dask Cluster Support: Enables easy distributed computing across projects.
Resource Scaling: Provides flexible adjustment of computational resources.
Integration with Jupyter Environments: Supports smooth collaboration and use of familiar tools.
GPU Support: Offers enhanced processing power for machine learning tasks.
Customization via Docker: Allows personalized environments and setups.

What benefits can users expect from Saturn Cloud?

Fast Setup: Quick to configure and begin using, speeding up the development process.
Cost-Effective Computing: Offers free resources and flexible pricing options.
Collaborative Features: Shared folders for seamless team collaboration.
Efficient Experimentation: Facilitates prototyping and testing with pre-configured environments.

In industries where scalable resources are critical, such as tech and data analysis, Saturn Cloud supports projects like Optical Character Recognition (OCR) and image segmentation. Its cloud-based storage and multi-core computation capabilities are essential for handling data-intensive tasks, making it a favored choice among professionals handling extensive machine learning models and experiments.

Saturn Cloud

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

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

Buyer's Guide

Dataiku vs. Saturn Cloud

June 2026

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