A rapturous tool to make offices become more AI-driven.
December 14, 2021

A rapturous tool to make offices become more AI-driven.

Amrit Suresh | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

DataRobots helps us to understand and use models in reality. Efficient in model configuration and selection. Great in documenting business models. We use it to clean large data and create data flow and automation. Prediction on continuous and categorical data. Connecting to data sources. Efficient in analyzing data and identifying indicators.
  • Automated model building.
  • Predicting APi's.
  • Hyperparameter tuning.
  • Crossfold validation.
  • Analyzing data.
  • The price.
  • More visibility into algorithms .
  • Data exploration.
  • Platform data modeling.
  • Data preparation.
  • Automation.
  • Automation to help accelerate work.
  • Helps in data preparation to help in machine learning.
  • Visualization.
It is very impressive because it helps to contribute to customer acquisition and support. Helps to automate data modeling structures. Ease of integration. Cloud-based. Provides powerful analytics to organizations with more productive and ideal predictive analysis solutions. Ability to automate processes in self-learning and artificial intelligence technologies to increase efficiency and productivity.

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

The application is easy to use for data analysis. All of the screens have explanations of all data points, models thus making it easy to provide explanations. DataRobots helps with algorithms to analyze and decipher many machine learning techniques to provide models to assist companies in making the right decisions. To extend existing data sources.

DataRobot Feature Ratings

Connect to Multiple Data Sources
Not Rated
Extend Existing Data Sources
9
Automatic Data Format Detection
8
MDM Integration
9
Visualization
9
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
9
Built-in Processors
9
Multiple Model Development Languages and Tools
1
Automated Machine Learning
9
Single platform for multiple model development
9
Self-Service Model Delivery
9
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
10