Data scientists: how do you feel about drag and drop tools like Alteryx, Dataiku, and the like?

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Not sure what Dataiku is, but I love Alteryx. I get the ease of transforming data without having to write actual code. It’s also easier for me to teach people who don’t have that coding background.

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The ease of use with Alteryx is second to none.

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I never use them

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I'm inherently distrustful of them. I like coding and being in control of/owning my code. But they're definitely faster. If I'm in a hurry for cleaning data, particularly if it's a one-time task and not code I'm planning on building, I'll use a tool with a GUI.

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Lose some of the flexibility/customization that comes from writing your own data flows in R and python. Cross validation and machine learning tools are fairly rudimentary. That said, I think Alteryx is a great tool for data processing/wrangling, and faster to ramp up on for those without a coding background.

I don’t like Alteryx for the most part. The reason I don’t like Alteryx is that it isn’t an interactive environment.

To that end I’m the weirdo that likes KNIME and it’s spark nodes. You get good performance with spark, it works more like an interactive environment and it has niceties like loops, the ability to chain non-dependent workflow, etc.

Alteryx does kill it in geospatial if that’s your thing.

Data my looks really cool but it’s pricey. When I talked to them it was ~$500K to get my team up and running (at least)

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