Dataiku vs Domino Data Science Platform comparison

Dataiku and Domino Data Lab are both solutions in the Data Science Platforms category. Dataiku is ranked #4 with an average rating of 8.3, while Domino Data Lab is ranked #16 with an average rating of 8.0. Dataiku holds a 8.0% mindshare in Data Science Platforms, compared to Domino Data Lab’s 2.3% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of Domino Data Lab users who would recommend it.

Dataiku

Read 17 Dataiku reviews

5,603 Views
5,491 Comparison Views

100% willing to recommend

Domino Data Science Platform

Read 2 Domino Data Science Platform reviews

1,312 Views
1,286 Comparison Views

100% willing to recommend

Dataiku

Domino Data Science Platform

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

Dataiku and Domino Data Science Platform are competing products in the data science and analytics space. Dataiku seems to have the upper hand in ease of use and support, while Domino excels in feature offerings and flexibility.

Features: Dataiku is recognized for its collaborative environment, data preparation tools, and user-friendly machine learning capabilities. Domino Data Science Platform features an open ecosystem that allows for flexibility and integration with various tools and platforms, offering deeper customization that appeals to teams looking for more control over data science operations.

Ease of Deployment and Customer Service: Dataiku offers a smooth deployment process supported by robust customer assistance. In contrast, Domino Data Science Platform provides a flexible deployment model that can be tailored to fit specific business requirements but may require more technical involvement. Dataiku's responsive customer service complements its ease of deployment, whereas Domino offers flexibility at the expense of increased complexity.

Pricing and ROI: Dataiku provides competitive setup costs and delivers substantial ROI through its simplicity and speed of deployment. Domino Data Science Platform may be more costly initially, but it promises a high ROI through its extensive feature set and flexibility that supports diverse data science projects, often making the decision dependent on budget constraints versus the desired level of customization and complexity.

To learn more, read our detailed Dataiku vs. Domino Data Science Platform Report (Updated: December 2025).

Buyer's Guide

Dataiku vs. Domino Data Science Platform

December 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

Dataiku

Ranking in Data Science Platforms

4th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Domino Data Science Platform

Ranking in Data Science Platforms

16th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of Dataiku is 8.0%, down from 12.1% compared to the previous year. The mindshare of Domino Data Science Platform is 2.3%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Dataiku	8.0%
Domino Data Science Platform	2.3%
Other	89.7%

Data Science Platforms

Featured Reviews

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

Unified platform has accelerated model development and improved collaborative data science work

I think Dataiku could be improved or enhanced in future releases with more 'talk to my data' capabilities, maybe more NLP features, and maybe a platform to build agents. These improvements would benefit me and my processes because they will help us to continue using Dataiku as one platform; right now we are exploring other platforms for the features which are missing, and if they are available within the same platform, I think it will increase the usage of Dataiku further. I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well.

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AHMEDSAHRAOUI

Machine Learning Engineer at Unemployed

Accelerated machine learning model development with seamless deployment

We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…

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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

"Data Science Studio's data science model is very useful."

"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."

"The best features Dataiku offers include the ability for users to use the node without having to code and the functionality related to low-code/no-code."

"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."

"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."

"I believe the return on investment looks positive."

"Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors."

"I rate the overall product as eight out of ten."

More Dataiku pros

"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."

"The scalability of the solution is good; I'd rate it four out of five."

Cons

"Dataiku's scalability is not one of the best solutions to scale."

"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."

"I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well."

"I have not seen a return on investment with Dataiku in terms of time saved, money saved, or fewer employees needed."

"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."

"In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive."

"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."

"All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex."

More Dataiku cons

"The predictive analysis feature needs improvement."

"The deployment of large language models (LLMs) could be improved."

Pricing and Cost Advice

"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

"Pricing is pretty steep. Dataiku is also not that cheap."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

Manufacturing Company

Energy/Utilities Company

Financial Services Firm

39%

Manufacturing Company

Insurance Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	11

No data available

Questions from the Community

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

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.

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What needs improvement with Dataiku Data Science Studio?

To improve Dataiku, it could enhance its visualization features, as it is not possible in Dataiku to create direct visualizations or to integrate a web app directly or in a simpler way as it is pos...

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

My main use case for Dataiku is for data science and AI projects. I use Dataiku for a demand forecasting use case where the objective is to predict the demand for each product for the next four mon...

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What needs improvement with Domino Data Science Platform?

The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that cannot handle big deployments, which is not suitable for LLMs.

See all answers

What is your primary use case for Domino Data Science Platform?

See all answers

What advice do you have for others considering Domino Data Science Platform?

It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying solely on data scientists might not be sufficient. I'd rate the solution eight out...

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Comparisons

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KNIME Business Hub vs Dataiku

Compared 16% of the time

Alteryx vs Dataiku

Compared 12% of the time

Amazon SageMaker vs Dataiku

Compared 8% of the time

Microsoft Azure Machine Learning Studio vs Dataiku

Compared 3% of the time

More Dataiku Competitors

Databricks vs Domino Data Science Platform

Compared 23% of the time

Amazon SageMaker vs Domino Data Science Platform

Compared 13% of the time

KNIME Business Hub vs Domino Data Science Platform

Compared 10% of the time

Alteryx vs Domino Data Science Platform

Compared 7% of the time

Anaconda Business vs Domino Data Science Platform

Compared 5% of the time

More Domino Data Science Platform Competitors

Product Reports

Buyer's Guide

Dataiku

January 2026

Download Dataiku product report

Buyer's Guide

Data Science Platforms

January 2026

Download Domino Data Science Platform product report

Also Known As

Dataiku DSS

Domino Data Lab Platform

Interactive Demo

Demo not available

Dataiku

Domino Data Lab

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

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

Domino Data Lab

Sample Customers

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

Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life

Buyer's Guide

Dataiku vs. Domino Data Science Platform

December 2025

Free Report: Dataiku vs. Domino Data Science Platform

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