Dataiku vs Domino Data Science Platform comparison

Dataiku and Domino Data Lab are both solutions in the Data Science Platforms category. Dataiku is ranked #6 with an average rating of 8.2, while Domino Data Lab is ranked #17 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 15 Dataiku reviews

5,570 Views
5,459 Comparison Views

100% willing to recommend

Domino Data Science Platform

Read 2 Domino Data Science Platform reviews

1,303 Views
1,277 Comparison Views

100% willing to recommend

Dataiku

Domino Data Science Platform

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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

6th

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Domino Data Science Platform

Ranking in Data Science Platforms

17th

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

"The most valuable feature is the set of visual data preparation tools."

"Cloud-based process run helps in not keeping the systems on while processes are running."

"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 believe the return on investment looks positive."

"Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another."

"Dataiku is a complete platform to build ETL and data pipeline and deploy it, which I appreciate."

"The solution is quite stable."

"The best feature in Dataiku is that once the data is connected in the underneath layer, it flows exceptionally smoothly if you know how to tweak it."

More Dataiku pros

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

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

Cons

"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

"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."

"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."

"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."

"The license is very expensive."

"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 think it would help if Data Science Studio added some more features and improved the data model."

More Dataiku cons

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

"The predictive analysis feature needs improvement."

Pricing and Cost Advice

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

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

Energy/Utilities Company

Financial Services Firm

38%

Insurance Company

Manufacturing 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	9

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?

I do not see anything that I would improve or enhance in Dataiku at this time; overall, it is a good tool to incorporate and to suggest to customers. Currently, I do not see anything specific that ...

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

We are a consulting firm for BFSI customers for the FSI value chain use cases, which is what we use Dataiku for, based on the problem statement the customer comes up with.

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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?

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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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Compared 9% of the time

Alteryx vs Domino Data Science Platform

Compared 7% of the time

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Compared 5% of the time

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Product Reports

Buyer's Guide

Dataiku

December 2025

Download Dataiku product report

Buyer's Guide

Data Science Platforms

November 2025

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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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