![Adalberto G.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Adalberto G.")
AG

Adalberto G.

Development and Automation Coordinator at Pricing and Revenue Management Intelligence

Enterprise (\> 1000 emp.)

7/16/2026

"Build Faster Workflows with Connected Data from many providers or distinct data sources"

4.5/5

What do you like best about Dataiku?

The interface is lightweight and enables me to quickly see the entire process (even the big ones). It allows me to connect to many data sources, from many distinct providers, having an unified repo for all the external connections. The client/designer performance is really cool, since it runs on the web/cloud, so it don't require a lot of resources from my machine, even when I am processing million of rows. The license pays itself after a few workflows, since tasks that usually would take weeks to be developed (or executed by an analist), could be deployed on production in just a few days. The Data Science team of the company uses it for forecasting, running LLM models, Machine Learning and all the cool stuff. I use it for data engineering and for running python code in the between, and it is really cool! I would recommend it for anyone. There are many tutorials on the platform, with starting demo projects that in a few hours you 'll feel empowered, or invited, to start your own projects. Review collected by and hosted on G2.com.

What do you dislike about Dataiku?

The interface for selecting fields of a datasource or maybe creating calculated fields should be simpler. Review collected by and hosted on G2.com.

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

It helps me validating ideas and creating data pipelines with just a few clicks. Developing all of that stuff by hand coded solutions would take 10x more time. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: Seller invite

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4.4 out of 5 · Verified reviews from real users

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