![Aniket D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aniket D.")
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Aniket D.

Graphic Designer

Design

Mid-Market (51-1000 emp.)

8/23/2025

"A Powerful Platform for End-to-End Data Science & Collaboration"

4.5/5

What do you like best about Dataiku?

Dataiku is excellent for managing the entire data pipeline from data preparation to machine learning and deployment. The best part is it easy to implement. The best part is how it allows both technical and non-technical users to collaborate on the same platform. Visual workflows make it easy to build projects without heavy coding, while advanced users can still dive deep with Python, R, or SQL. The integration with cloud platforms and version control is also very smooth. Review collected by and hosted on G2.com.

What do you dislike about Dataiku?

The platform can feel heavy for smaller projects, and the initial learning curve is a bit steep for beginners. Also, the licensing costs can be high for small companies or startups. Review collected by and hosted on G2.com.

What problems is Dataiku solving and how is that benefiting you?

For me, Dataiku mainly solves the problem of collaboration between technical and non-technical teams. Earlier, a lot of time used to get wasted when data scientists, analysts, and business teams worked separately and had to constantly exchange files and reports. With Dataiku, we can all work on the same platform data cleaning, model building, and visualization happen in one place. It also saves me from doing repetitive manual tasks since a lot of workflows can be automated. Overall, it has made our data projects faster, more transparent, and easier to manage. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

See what 213 reviewers think of Dataiku

4.4 out of 5 · Verified reviews from real users

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