DataRobot is pretty good, could be better.
August 09, 2022

DataRobot is pretty good, could be better.

Tyler Hansen | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

Predict churn. Identify ideal customers and targeted customers for promotions.
  • Minimizes coding extensively (for the user).
  • Allows high levels of customization.
  • Deployments are well organized.
  • Model training could be faster.
  • Too many limitations, such as making changes to deployments (such as threshold).
  • Less time spent on model creation.
  • Slightly improved accuracy.
Reduced the amount of time spent in creating models and allows me to better learn about the relationship the predictors have with the response variable with the number of reports generated per model.
Sales are facing a downturn as the popularity of the product portfolio is a highlight variable. DataRobots AI tools have helped me produce many more predictive models aimed at increasing revenue or reducing costs in a much shorter amount of time.

Do you think DataRobot delivers good value for the price?

Not sure

Are you happy with DataRobot's feature set?

Yes

Did DataRobot live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of DataRobot go as expected?

Yes

Would you buy DataRobot again?

Yes

Navisite Productivity and Collaboration (Microsoft Office 365 and MDM)
Great for straightforward predictive analytic work, such as the quintessential business cases (e.g. churn prediction). Not so good for unsupervised stuff, such as clustering, and it is pretty hard to use to predict recommendations.

DataRobot Feature Ratings

Connect to Multiple Data Sources
7
Extend Existing Data Sources
8
Automatic Data Format Detection
5
MDM Integration
Not Rated
Visualization
3
Interactive Data Analysis
2
Interactive Data Cleaning and Enrichment
6
Data Transformations
7
Data Encryption
9
Built-in Processors
7
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
9
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
9