Not sure to choose Data Robot? You must read this first!
August 11, 2022
Not sure to choose Data Robot? You must read this first!

Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with DataRobot
DataRobot is part of our DataScience LifeCycle supporting our team in every stage of the AML process. For each business area in my company, data robot contribute reducing the time for development and also reducing the learning curve when we hire a new member in our team. In terms of scope, i have used DataRobot only for batch predictions and it works very well.
Pros
- Feature Engineering
- Model Training
- Metric Validation
- Detect Bias
Cons
- Direct Connection to Oracle Database
- Normalize Data
- Customer Success
- Increased Producitvity: 10x faster to develop a data model. (π)
- Accuracy: our models improved ~35% (confusion matrix) (π)
- Cost of Platform: Pricing Model changes Radically (ππ»)
- Dataiku DSS and H2O
When we ran the purchase process, two factors were critical: price of course and the customer success service as we were new in this datascience world. H2O and DataRobot were the finalists (Dataiku too expensive for our needs), but we decide to choose DataRobot as they give us βfreeβ dedicated datascientist sessions per week (1hr) to helpus with adoption, Q&A of platform and most important, discuss the best approach for each use case.
Do you think DataRobot delivers good value for the price?
Yes
Are you happy with DataRobot's feature set?
Yes
Did DataRobot live up to sales and marketing promises?
Yes
Did implementation of DataRobot go as expected?
No
Would you buy DataRobot again?
No
Comments
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