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DataRobot Reviews

Vendor: DataRobot
4.1 out of 5

What is DataRobot?

Featured DataRobot reviews

DataRobot mindshare

Product category:
As of January 2026, the mindshare of DataRobot in the Predictive Analytics category stands at 6.7%, down from 7.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Predictive Analytics Market Share Distribution
ProductMarket Share (%)
DataRobot6.7%
Alteryx8.1%
Anaplan8.1%
Other77.1%
Predictive Analytics

PeerResearch reports based on DataRobot reviews

TypeTitleDate
CategoryPredictive AnalyticsJan 7, 2026Download
ProductReviews, tips, and advice from real usersJan 7, 2026Download
ComparisonDataRobot vs AlteryxJan 7, 2026Download
ComparisonDataRobot vs SAP Analytics CloudJan 7, 2026Download
ComparisonDataRobot vs Altair RapidMinerJan 7, 2026Download
Suggested products
TitleRatingMindshareRecommending
Datadog4.3N/A97%210 interviewsAdd to research
Google Vertex AI4.1N/A100%14 interviewsAdd to research
 
 
Key learnings from peers
Last updated Nov 2, 2025

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Top industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
University
7%
Educational Organization
7%
Healthcare Company
6%
Construction Company
5%
Insurance Company
4%
Transportation Company
3%
Comms Service Provider
3%
Real Estate/Law Firm
3%
Legal Firm
3%
Energy/Utilities Company
3%
Wholesaler/Distributor
2%
Performing Arts
2%
Government
2%
Outsourcing Company
2%
Non Profit
1%
Logistics Company
1%
Security Firm
1%
Media Company
1%
 
DataRobot Reviews Summary
Author infoRatingReview Summary
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees3.5I've used DataRobot for a year to streamline predictive modeling and data cleaning, significantly boosting efficiency. While it's powerful and time-saving, handling large datasets and integration could improve. Overall, it's worth the investment.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees4.0I use DataRobot to streamline our development process with its GUI capabilities, enabling feature engineering, model training, and deployment. Its AutoML simplifies model comparison, boosting productivity, though it lacks some manual implementation functionalities available in Python notebooks.
Data Scientist at a tech services company with 10,001+ employees4.5We work on AI and IT-related projects using DataRobot, a highly automated platform that simplifies model building and deployment. Despite its robust MLOps features, it faces performance issues and lacks integration with orchestration tools, making storage tasks challenging.
Consultant at Netsoft4.5I conducted a proof of concept at DISH Wireless before a contract signing and found DataRobot's ease in managing MLOps operations valuable. Improvements could include generative AI capabilities. I've also used Dataiku, which differs in structure and financial focus.
Head of Data and Analytics at a manufacturing company with 501-1,000 employees5.0No summary available
Data Scientist at a tech services company with 11-50 employees4.0No summary available