Review of DataRobot inside GP!
December 14, 2021

Review of DataRobot inside GP!

Alfredo Carsi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

We use DataRobot for predictive modeling and to empower our Citizen Data Scientists.
  • Easy to use platform.
  • Easy to work on feature engineering and compare different types of algorithms on models.
  • Easy model deployment.
  • More training available.
  • Manageable data pipelines.
  • Easy to show feature impact.
  • Easy to work on feature engineering.
  • Easy to have everything in just one place.
  • We are about to have our first Model in production and we expect to have a yearly ROI of around 300k USD which hopefully can double in 2023.
DataRobot is easier to use and requires less technical knowledge to train a vast amount of ML models which is one of the main advantages. It also allows you to compare different models in an easy way and lets you select the type of metrics to score your model.

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?

No

Did implementation of DataRobot go as expected?

No

Would you buy DataRobot again?

Yes

DataRobot is perfect to train and deploy quick ML models to tackle down specific use cases. I believe DR should have annual conferences dedicated to users/developers but overall, DR is a great tool to use in the ML world.

DataRobot Feature Ratings

Connect to Multiple Data Sources
5
Extend Existing Data Sources
6
Automatic Data Format Detection
9
MDM Integration
8
Visualization
7
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
7
Built-in Processors
10
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
7
Security, Governance, and Cost Controls
6