If you were talking to someone whose organization is considering Dataiku Data Science Studio, what would you say?
How would you rate it and why? Any other tips or advice?
Dataiku is a very broad solution that offers many possibilities. If you want to use it you must be fully committed to it. The biggest lesson I learned from using the product is that you can do many things with it. But you must commit the time to discover the tool. On a scale from one to ten where one is the worst and ten is the best, I would rate Dataiku as a seven. It is a little bit of a conservative rating because it is a nice solution and I just use it for a particular task.
At the moment, we haven't had any need to use containers or Spark because everything is included in BigQuery. My advice for anybody who is implementing this solution is to start with having somebody who can mentor you. Whether this is the case or not, the tutorial and documentation are quite good, so I would suggest going through the whole tutorial and academy material. This solution does have a learning curve, although it is not steep. I would rate this solution an eight out of ten.
My advice to anybody who is implementing this solution is to use the tutorial first. There are lots of tutorials available that help to quickly explain the solution. This is a product that I recommend. I would rate this solution an eight out of ten.