Item: DataRobot
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

Datarobot is one of the best AutoML tools out there with many SOR models. It has helped our organization in realizing the potential of AI and AL. It is really easy to use and understand even for a budding ML engineer or data scientist. They also provide the best support and continuous improvement to the tool.

Pros and Cons

Pros

State of the Art models
Easy deployment and maintenance
Awesome support and documentations

Cons

Data Prep can be integrated as a part of app instead of additional service
Unsupervised learning can be improved
Can provide boiler plate use cases like NLP and chatbot directly in the tool

Most Important Features

MLOps architecture
AutoML with SOR models

Return on Investment

Better ROI
A lot of time saved for Model development and deployment

Alternatives Considered

H2O

Key Insights

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?

I wasn't involved with the selection/purchase process

Did implementation of DataRobot go as expected?

I wasn't involved with the implementation phase

Would you buy DataRobot again?

Yes

Other Software Used

Python IDLE, H2O

Likelihood to Recommend