Item: DataRobot
Rating: 6
Author: Verified User

Use Cases and Deployment Scope

Our Analytics data scientists use DataRobot to train and deploy models. They upload data used in the training of models. then using DataRobot's interface, they evaluate and select which models to deploy to the Prediction server. The Technology team automates predictions for the various use cases of models created by the analytics team.

Pros and Cons

Analyze data and identify indicators
Provide performance analysis of statistical models
Fast prediction server

Price
Optimizer
No service account for automated prediction server use
API

Most Important Features

Data analysis
Model creation
Prediction API

Return on Investment

More data scientist efficiency
Faster response to changing market
Higher costs

Key Insights

Do you think DataRobot delivers good value for the price?

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

Other Software Used

Visual Studio IDE, Microsoft SQL Server, .NET

Likelihood to Recommend

DataRobot's core functionality of training and analyzing models is very good, and their prediction server infrastructure is very fast and reliable. But the pricing structure is overly complicated and constantly rising. Every feature seems to come at an additional cost. Recently is seems DataRobot is investing a lot of development in unneeded features.

Still Ok, I guess

Overall Satisfaction with DataRobot