Dataiku vs MathWorks Matlab comparison

Dataiku and MathWorks are both solutions in the Data Science Platforms category. Dataiku is ranked #2 with an average rating of 8.2, while MathWorks is ranked #17 with an average rating of 9.0. Dataiku holds a 5.1% mindshare in Data Science Platforms, compared to MathWorks’s 1.8% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Dataiku

Read 21 Dataiku reviews

7,485 Views
7,335 Comparison Views

100% willing to recommend

MathWorks Matlab

Read 5 MathWorks Matlab reviews

1,544 Views
1,498 Comparison Views

100% willing to recommend

Dataiku

MathWorks Matlab

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

Dataiku and MathWorks Matlab are key players in data processing and analytics. While Dataiku is favored for its accessible platform fostering collaboration, MathWorks Matlab stands out with its extensive numerical computing capabilities, making it more suitable for users demanding precision and advanced technical computations.

Features: Dataiku enhances collaboration with capabilities focused on integrating diverse data sources and supports data democratization efforts. MathWorks Matlab offers comprehensive modeling, simulation tools, and excels in handling high-level mathematics for precise computational tasks.

Ease of Deployment and Customer Service: Dataiku provides an intuitive deployment experience with processes that are easier to manage, backed by reliable customer support. MathWorks Matlab requires more technical expertise during deployment but is supported with thorough documentation and technical assistance.

Pricing and ROI: Dataiku presents a more affordable entry point, which is attractive for teams focused on agile analytics with collaborative environments, offering good ROI. MathWorks Matlab, despite higher initial setup costs, is considered a valuable investment for projects needing extensive computational capabilities, ensuring substantial returns.

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

Buyer's Guide

Dataiku vs. MathWorks Matlab

June 2026

Download the complete report

Helped 903,996 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:

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

MathWorks Matlab

Ranking in Data Science Platforms

17th

Average Rating

8.8

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2026, in the Data Science Platforms category, the mindshare of Dataiku is 5.1%, down from 13.1% compared to the previous year. The mindshare of MathWorks Matlab is 1.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	5.1%
MathWorks Matlab	1.8%
Other	93.1%

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

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Versatile system empowers users with advanced algorithm development and seamless integration capabilities

The application is pretty good, and I don't really complain. For my purposes, MathWorks Matlab is perfect because it's very versatile; it is not out-of-the-box of course, and you have to program everything yourself. If you are experienced enough, you can do many things which other programs, for instance, SPSS, cannot do, as you need to program it—it's a fourth-generation programming language. In the future of MathWorks Matlab, I would appreciate the addition of many AI features, as there are a lot of machine learning capabilities and many AI features in the visual scene, although I don't need those because I use this feature data and don't work on pictures or images. However, you can work on images and can then do deep learning and that stuff, which is one of the real strengths of MathWorks Matlab.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

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

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

"The best features Dataiku offers that help me with my demand forecasting and data science projects include having a complete overview of the flow directly from the flowchart, allowing me to observe all the steps in a single overview, and the ability to use a no-code, low-code node."

"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."

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

"Dataiku is really a very intuitive platform that allows you to carry out data projects from end to end, with the opportunity to reuse templates, models, and recipes, which is one of the big advantages of using it."

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

More Dataiku pros

"The platform's most valuable feature is its field-specific packages, which make it very easy to use."

"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."

"What I appreciate about MathWorks Matlab is that it is the most versatile program system I know; there are so many toolboxes which I don't need, as I mostly work with statistics, but it's amazing how many functions there are."

"This solution is pretty good, I truly enjoy it."

"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."

"Making digital twins saves significant time; checking something in simulation is more cost-effective—for instance, with marine engines, we typically need about 10 years of checking to find misfires, but with MathWorks Matlab, we can complete it in one month."

Cons

"One area for improvement is the need for more capabilities similar to those provided by NVIDIA for parallel machine learning training. We still encounter some integration issues."

"I would like to have better exclusion of data capability."

"However, I feel that better documentation is necessary."

"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."

"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."

"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."

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

More Dataiku cons

"One area where the product could improve is in the ease of learning."

"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."

"To make use of the GPU, you have to have an Nvidia card."

"The cost is a significant concern; while university pricing is reasonable, a cheaper version with fewer libraries would be beneficial."

"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."

"It is not out-of-the-box of course, and you have to program everything yourself."

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."

"The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license."

"We have a single user license. Support and add-ons are an extra fee."

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

903,996 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

Construction Company

12%

Computer Software Company

Comms Service Provider

Government

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	2
Midsize Enterprise	1
Large Enterprise	4

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 is your experience regarding pricing and costs for MathWorks Matlab?

Regarding the pricing part and licensing cost for MathWorks Matlab, it is not cheap, but it depends on the functions you need. You don't need all of them; you may just require a few and then it's r...

See all answers

What needs improvement with MathWorks Matlab?

See all answers

What is your primary use case for MathWorks Matlab?

I am working with MathWorks Matlab for statistics and machine learning, though I don't know which version I have, but I guess it is 21 or so. I don't care because the things I'm doing haven't chang...

See all answers

Comparisons

Databricks vs Dataiku

Compared 18% of the time

Alteryx vs Dataiku

Compared 10% of the time

KNIME Business Hub vs Dataiku

Compared 9% of the time

Altair RapidMiner vs Dataiku

Compared 5% of the time

Amazon SageMaker vs Dataiku

Compared 5% of the time

More Dataiku Competitors

IBM SPSS Modeler vs MathWorks Matlab

Compared 6% of the time

Databricks vs MathWorks Matlab

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs MathWorks Matlab

Compared 6% of the time

KNIME Business Hub vs MathWorks Matlab

Compared 5% of the time

Domino Data Science Platform vs MathWorks Matlab

Compared 5% of the time

More MathWorks Matlab Competitors

Product Reports

Buyer's Guide

Dataiku

July 2026

Download Dataiku product report

Buyer's Guide

MathWorks Matlab

June 2026

Download MathWorks Matlab 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

MathWorks Matlab provides powerful algorithm testing capabilities and supports matrix calculations and toolboxes. It integrates with older systems and offers a visual system modeling environment in Simulink. Users appreciate its versatility and ability to create custom libraries for research projects.

MathWorks Matlab supports algorithm development and system modeling with seamless integration with C and Java. It is popular in educational and engineering contexts for its digital twins, mathematical modeling, and digital signal processing. Users in fields like automotive sector rely on Matlab's robust packages and libraries, though there is room for improvement in support and GPU compatibility. The cost and reliance on add-ons can be significant concerns, along with challenging syntax and limited learning resources.

What are the key features of MathWorks Matlab?

Algorithm Testing: Facilitates testing with matrix calculations.
Toolbox Versatility: Offers a broad range of toolboxes and functions.
Simulink Integration: Provides visual modeling for engineering disciplines.
Custom Libraries: Allows creation of tailored libraries for projects.
System Compatibility: Supports older systems and integrates with C and Java.

How does MathWorks Matlab provide benefits and ROI?

Time Savings: Digital twins lead to significant efficiency gains.
Research Reliability: User-friendly design supports R&D projects.
Robust Modeling: Facilitates automation and embedded coding.
Industry Support: Strong packages for specific fields enhance productivity.

MathWorks Matlab is implemented in educational and engineering settings, providing critical support for testing algorithms and data modeling. It's extensively used in the automotive sector for machine learning, statistics, and model-based development. Matlab and Simulink allow users to switch focus based on project needs, offering robust solutions for tasks like algorithm development and digital signal processing.

MathWorks

Sample Customers

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

Information Not Available

Buyer's Guide

Dataiku vs. MathWorks Matlab

June 2026

Free Report: Dataiku vs. MathWorks Matlab

Find out what your peers are saying about Dataiku vs. MathWorks Matlab and other solutions. Updated: June 2026.

DOWNLOAD NOW

903,996 professionals have used our research since 2012.

See our Dataiku vs. MathWorks Matlab 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.