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Dataiku DSS Reviews in June 2026: User Ratings, Pros & Cons

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4.2

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Dataiku DSS Reviews & Ratings

4.2

Very Good

Based on 41 ratings & 50 reviews

Rating Distribution

Excellent

(24)

Very Good

(20)

Good

(6)

Poor

(0)

Terible

(0)

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Showing 21-30 out of 50

AU

Anonymous User

06/19/20

3.5 out of 5

"Good for data exploration and data analytics"

What do you like best about Dataiku? Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool.

CI

Consultant in Pharmaceuticals

06/19/20

3.5 out of 5

"Good for data exploration and data analytics"

What do you like best? Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool.

AU

Anonymous User

06/19/20

3.5 out of 5

"Good for data exploration and data analytics"

What do you like best about Dataiku? Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool.

CI

Consultant in Pharmaceuticals

06/19/20

3.5 out of 5

"Good for data exploration and data analytics"

What do you like best? Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool.

PS

Pushpendra S

06/19/20

4.5 out of 5

"Dataiku is powerful tool for Data analysis and data science work."

What do you like best about Dataiku? DSS is powerful tool for Data science work. it's giving you best suggetion for which algorithm is best for you analysis. I have used it basically for data preparation and data analysis purpose. it's easy to use and reuse you data flow making this really cool.

DM

Daniel M

06/11/20

5 out of 5

"Learning about different AutoML"

What do you like best about Dataiku? I like the flexibility to ingest different data sources. The user interface is intuitive and allows you to upload data into a project with a few clicks. Also, the portfolio of recipes and algorithms help expedite the development of different algorithms. One exercise that I'd like to do is to test the time-saving opportunities that I can have with this type of tool.

CI

Consultant in Airlines/Aviation

06/11/20

4.5 out of 5

"Dataiku PoC Developer"

What do you like best? User experience and suppported ML models What do you dislike?

UI

User in Pharmaceuticals

06/10/20

4 out of 5

"Very useful and powerful in terms of deploying machine learning algorithms"

What do you like best? Inbuilt machine learning deployment facility and easy integration with other code environments like Jupyter Notebook

UI

User in Pharmaceuticals

06/10/20

4 out of 5

"Very useful and powerful in terms of deploying machine learning algorithms"

What do you like best? Inbuilt machine learning deployment facility and easy integration with other code environments like Jupyter Notebook

CI

Consultant in Computer Software

06/10/20

4 out of 5

"Lovely data analytics software with cool insights"

What do you like best? The histograms on each column and the recommendation of outliers. The major like from my side would be the algorithm recommendation after building model.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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