DataRobot Overview

DataRobot is the #4 ranked solution in our list of top Predictive Analytics tools. It is most often compared to Alteryx: DataRobot vs Alteryx

What is DataRobot?

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

DataRobot Buyer's Guide

Download the DataRobot Buyer's Guide including reviews and more. Updated: February 2021

DataRobot Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

DataRobot Video

Pricing Advice

What users are saying about DataRobot pricing:

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."

DataRobot Reviews

Pavan KumarKurapati

Data Scientist at a tech services company with 11-50 employees

Dec 11, 2019

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Has a set of good features and an easy setup

What is our primary use case?

We are a healthcare startup, so we work with both the healthcare insurance providers as well as the hospitals. We are developing a robotic process automation system for both the insurance part and the hospital side of the healthcare industry. In that operating process automation, we plan to imbibe intelligence, with the help of machine learning.

Pros and Cons

"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."

What other advice do I have?

I would recommend this, provided there can be integration of our existing R or Python code. Maybe the structure during the permanent phase of deployment could also be made better. That would help most people. I would rate this solution as eight out of ten.

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