G2

INDRAYUDH B.

Ambassador

Small-Business (50 or fewer emp.)

8/28/2026

"Straightforward Visual ML Workflows with Flexible Python and SQL Options"

5/5

What do you like best about Dataiku?

What I like most about Dataiku is how straightforward it makes working with data and putting together machine learning workflows. After using it for a week, I found the visual interface particularly helpful because it let me explore, clean, and transform data without needing to write code at every step. At the same time, the option to switch to Python and SQL when needed adds a lot of flexibility. Overall, it feels like a solid platform that brings data preparation, analysis, and machine learning together in one place. Review collected by and hosted on G2.com.

What do you dislike about Dataiku?

What I like least about Dataiku is that it can feel a bit overwhelming at first. It offers a lot of features and options, so it takes time to get comfortable with the interface and to figure out the workflow that makes the most sense. For beginners, some tasks can also seem more complicated than they need to be. After using it for a week, I still think it has a lot of potential, but I wish the initial learning curve were smoother. Review collected by and hosted on G2.com.

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

Dataiku helps simplify the process of preparing, analyzing, and working with data by bringing everything into one platform. Instead of switching between different tools, I can manage data, create workflows, and experiment with machine learning in one place. This saves time and makes the overall data workflow more organized and easier to manage. Review collected by and hosted on G2.com.