DataRobot Review after 1 year of rigorous use
March 25, 2022

DataRobot Review after 1 year of rigorous use

Amar Kumar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

DataRobot is used for training several models, evaluating the trained models, deploying them in production, and tracking the result on day to day basis. DataRobot has excellent MLOps support. We are utilizing DataRobot for demand prediction (time-aware models). In another project, we utilized the predictor and optimizer applications for demo purposes.
  • It can do feature engineering very well.
  • It can explain the model and model predictions very well.
  • The deployment and model management is very easy.
  • It tries exhaustive list of models before finalizing one.
  • It does not provide enough opportunity to modify the pipeline.
  • Once the control is given to datarobot, there is little that a data scientist can do.
  • DataRobot can generate explanation for why a model was
  • Model retraining automation is not very flexible in Datarobot
  • Increased the productivity by 4 times.
Earlier lead time - 4-8 weeks Datarobot implementation time - 1 week

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?

Yes

Would you buy DataRobot again?

Yes

Appropriate When we have a very straightforward data science problem, which needs a scalable solution, then it is a suitable solution. Suitable for time-aware models, DataRobot can created many features. Less Appropriate When the data science problem is challenging and requires lots of fine-tuning, the DataRobot is not a good solution.

DataRobot Feature Ratings

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