Dataiku vs IBM Watson Studio comparison

Dataiku and IBM are both solutions in the Data Science Platforms category. Dataiku is ranked #4 with an average rating of 8.3, while IBM is ranked #18 with an average rating of 7.0. Dataiku holds a 8.0% mindshare in Data Science Platforms, compared to IBM’s 2.2% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Dataiku

Read 17 Dataiku reviews

5,603 Views
5,491 Comparison Views

100% willing to recommend

IBM Watson Studio

Read 16 IBM Watson Studio reviews

2,182 Views
1,418 Comparison Views

100% willing to recommend

Dataiku

IBM Watson Studio

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

IBM Watson Studio and Dataiku are data science platforms with IBM Watson Studio known for its advanced AI integration and scalability, while Dataiku is favored for its collaborative environment and ease of use, enhancing team collaboration and data processing.

Features: IBM Watson Studio offers sophisticated machine learning and deep learning tools, collaboration features for seasoned data professionals, and seamless AI capability integration. Alternatively, Dataiku provides a user-friendly drag-and-drop interface, integration with various data sources, and powerful data connectors, suitable for technical and non-technical users.

Room for Improvement: IBM Watson Studio could enhance its user interface to cater to less technical users and improve cost efficiency. Dataiku could expand its AI feature set, increase scalability for larger enterprises, and incorporate more advanced coding options for expert users.

Ease of Deployment and Customer Service: IBM Watson Studio supports comprehensive cloud integration, backed by extensive customer resources and tailored solutions. Dataiku's straightforward deployment model and guided support ensure smooth integration for teams with diverse skill levels.

Pricing and ROI: IBM Watson Studio has a premium pricing structure reflecting its advanced capabilities, making it suitable for organizations needing deep AI functionality. Dataiku offers cost-effective solutions with a quick ROI, focusing on usability and efficient onboarding, ideal for businesses optimizing resource allocation.

To learn more, read our detailed Dataiku vs. IBM Watson Studio Report (Updated: December 2025).

Buyer's Guide

Dataiku vs. IBM Watson Studio

December 2025

Download the complete report

Helped 879,899 peers since 2012

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

5.4

Dataiku enhances efficiency, compliance, collaboration, and development speed, though financial benefits remain unclear without a pricing change.

Sentiment score

5.8

IBM Watson Studio boosts efficiency and accuracy, reduces staffing, enhances conversion rates, and offers integration benefits, despite its cost.

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

In terms of ROI, the use of Dataiku simplifies the architecture of customers, which helps them to decommission some of their existing tools;

Durgesh-Singh

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

For more quotes and insights, download the Dataiku report

The product offers a significant return on investment through its scalability and integration capabilities.

Willie Torres

Process Automation Lead at CONDIACTOR

My customers have seen returns on investment through increased efficiency, automated calculations, improved accuracy in pricing, and reduced staffing needs due to the automation.

Altan_Atabarut

Director, Channel and Alliances at Akinon

For more quotes and insights, download the IBM Watson Studio report

Customer Service

Sentiment score

5.8

Dataiku's customer service is praised for responsiveness and expertise but criticized for inconsistency and slow issue resolution.

Sentiment score

6.5

IBM Watson Studio support is praised for responsiveness, but quality varies by plan and community access is limited.

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

The support quality depends on the SLA or the contract terms.

Willie Torres

Process Automation Lead at CONDIACTOR

The community access is weak, which limits the ability to engage in discussions and find documentation and examples of similar cases effectively.

Altan_Atabarut

Director, Channel and Alliances at Akinon

For more quotes and insights, download the IBM Watson Studio report

Scalability Issues

Sentiment score

6.2

Dataiku is scalable, integrates with cloud platforms, but some users find room for improvement and are concerned about licensing costs.

Sentiment score

7.0

IBM Watson Studio is scalable and flexible, supporting diverse needs with high costs but seamless integration and comprehensive features.

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

For more quotes and insights, download the Dataiku report

Watson Studio is very scalable.

Willie Torres

Process Automation Lead at CONDIACTOR

I rate IBM Watson Studio seven out of ten for scalability because while it scales, it requires significant resources to do so, making it expensive compared to some competitors.

Altan_Atabarut

Director, Channel and Alliances at Akinon

For more quotes and insights, download the IBM Watson Studio report

Stability Issues

Sentiment score

7.0

Opinions on Dataiku's stability vary, with some reporting issues, while others find it stable under proper management.

Sentiment score

7.5

IBM Watson Studio is robust and reliable, performing well over time, particularly in private cloud environments, with consistent stability.

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

As for stability and reliability, so far so good; after the installation, I really had no problems.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

For more quotes and insights, download the Dataiku report

Expertise in optimization is necessary to manage such issues effectively.

Altan_Atabarut

Director, Channel and Alliances at Akinon

For more quotes and insights, download the IBM Watson Studio report

Room For Improvement

Dataiku needs improvements in stability, usability, integration, cost-efficiency, and features for smaller teams and non-IT users.

IBM Watson Studio users want improved web functionality, modular structure, better navigation, enhanced support, and adaptable pricing for enterprises.

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

The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale.

Altan_Atabarut

Director, Channel and Alliances at Akinon

One area that could be improved is the backup and restoration of the database and the overall database configuration.

Willie Torres

Process Automation Lead at CONDIACTOR

I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task.

NamanJain

Software Engineer at a computer software company with 51-200 employees

For more quotes and insights, download the IBM Watson Studio report

Setup Cost

Dataiku's pricing ranges from €20 to €40 annually per key, seen as affordable or expensive depending on budgets.

IBM Watson Studio's pricing is seen as reasonable but can be expensive, affecting competitiveness and regional deployments.

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

IBM Watson Studio is considered rather expensive, with a rating of six or seven.

Altan_Atabarut

Director, Channel and Alliances at Akinon

For more quotes and insights, download the IBM Watson Studio report

Valuable Features

Dataiku enhances workflows with visual tools, supports multiple languages, and integrates easily with cloud platforms for efficient data management.

IBM Watson Studio offers automation, AI integration, scalability, and robust data modeling, ideal for large organizations with multi-cloud support.

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

This capability saves a significant amount of time by automating processes that typically involve manual work, such as data cleaning, feature engineering, and predictive analytics.

Altan_Atabarut

Director, Channel and Alliances at Akinon

It integrates well with other platforms and offers good scalability.

Willie Torres

Process Automation Lead at CONDIACTOR

The best features IBM Watson Studio offers are that it is good for big and complex organizations, it is multi-cloud, it has an on-prem facility, and it also has strong visual tools.

NamanJain

Software Engineer at a computer software company with 51-200 employees

For more quotes and insights, download the IBM Watson Studio report

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

IBM Watson Studio

Ranking in Data Science Platforms

18th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

AI Development Platforms (17th)

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 IBM Watson Studio is 2.2%, up from 2.1% 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%
IBM Watson Studio	2.2%
Other	89.8%

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.

Read full review

Altan_Atabarut

Director, Channel and Alliances at Akinon

Automated processes improve efficiency while user interface and accessibility need enhancements

IBM Watson Studio, while powerful, lacks user-friendliness. It is not easy to use, particularly for medium or small enterprises or less experienced staff. Another aspect that requires improvement is the complexity involved in computer vision tasks. The integration capabilities have not significantly impacted workflow since there are simpler tools like Alteryx and Nine. The platform is associated with a complicated setup process and demands heavy hardware, making it expensive to scale. IBM should work on optimizing the user interface and enhancing the product's accessibility for medium and small enterprises.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

879,899 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

Manufacturing Company

Energy/Utilities Company

Financial Services Firm

12%

Manufacturing Company

11%

Computer Software Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	1
Large Enterprise	4

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.

See all answers

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 ...

See all answers

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.

See all answers

What is your experience regarding pricing and costs for IBM Watson Studio?

IBM Watson Studio is considered rather expensive, with a rating of six or seven. The pricing could be optimized relative to the features and capabilities of the product.

See all answers

What needs improvement with IBM Watson Studio?

I think IBM Watson Studio can be improved. I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task. Also, I think pricing is a bit high.

See all answers

What is your primary use case for IBM Watson Studio?

My main use case for IBM Watson Studio is the end-to-end ML life cycle. A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built...

See all answers

Comparisons

Databricks vs Dataiku

Compared 21% of the time

KNIME Business Hub vs Dataiku

Compared 17% of the time

Alteryx vs Dataiku

Compared 12% of the time

Amazon SageMaker vs Dataiku

Compared 9% of the time

Anaconda Business vs Dataiku

Compared 1% of the time

More Dataiku Competitors

Databricks vs IBM Watson Studio

Compared 14% of the time

Azure OpenAI vs IBM Watson Studio

Compared 9% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 9% of the time

KNIME Business Hub vs IBM Watson Studio

Compared 7% of the time

MathWorks Matlab vs IBM Watson Studio

Compared 3% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

Dataiku

January 2026

Download Dataiku product report

Buyer's Guide

IBM Watson Studio

January 2026

Download IBM Watson Studio product report

Also Known As

Dataiku DSS

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

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

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

IBM

Sample Customers

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

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Dataiku vs. IBM Watson Studio

December 2025

Free Report: Dataiku vs. IBM Watson Studio

Find out what your peers are saying about Dataiku vs. IBM Watson Studio and other solutions. Updated: December 2025.

DOWNLOAD NOW

879,899 professionals have used our research since 2012.

See our Dataiku vs. IBM Watson Studio report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.