Still Ok, I guess
November 17, 2021

Still Ok, I guess

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

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.
  • 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
  • Data analysis
  • Model creation
  • Prediction API
  • More data scientist efficiency
  • Faster response to changing market
  • Higher costs

Do you think DataRobot delivers good value for the price?


Are you happy with DataRobot's feature set?


Did DataRobot live up to sales and marketing promises?


Did implementation of DataRobot go as expected?


Would you buy DataRobot again?


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.

DataRobot Feature Ratings

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