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DataRobot OverviewUNIXBusinessApplication

DataRobot is #4 ranked solution in top Predictive Analytics tools. IT Central Station users give DataRobot an average rating of 8 out of 10. DataRobot is most commonly compared to Alteryx:DataRobot vs Alteryx. The top industry researching this solution are professionals from a computer software company, accounting for 25% of all views.
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.

Buyer's Guide

Download the Predictive Analytics Buyer's Guide including reviews and more. Updated: November 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

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Pavan KumarKurapati
Data Scientist at a tech services company with 11-50 employees
Real User
Top 20
Has a set of good features and an easy setup

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 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.

What is most valuable?

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.

What needs improvement?

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 simple integration, it would help us a lot.

For how long have I used the solution?

I chose this solution about nine months ago.

What do I think about the stability of the solution?

To be honest, I did not spend much time on it, but in the limited time that I worked with DataRobot, I found it to be stable. If I would have spent more time, maybe I would have provided a better assessment, but for the time that I worked on it, I found it to be good.

How was the initial setup?

I found the initial setup to be simple. Maybe if we were in a large scale deployment when we purchased it, the setup difficulty would be different, but at least in the initial version, I found it to be simple and straightforward.

What's my experience with pricing, setup cost, and licensing?

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

Which other solutions did I evaluate?

We are a new startup organization and we are in the process of evaluating various tools. During the process, we happened to install the free version of DataRobot. Because of the pricing issue, we dropped that idea. Otherwise, we thought it was good.

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.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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