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DataRobot Reviews

Vendor: DataRobot
4.2 out of 5

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Helped 884,873 peers since 2012

Featured DataRobot reviews

DataRobot mindshare

Product category:
As of March 2026, the mindshare of DataRobot in the Predictive Analytics category stands at 6.4%, down from 8.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
DataRobot6.4%
Alteryx7.6%
Anaplan6.9%
Other79.1%
Predictive Analytics

PeerResearch reports based on DataRobot reviews

TypeTitleDate
CategoryPredictive AnalyticsMar 25, 2026Download
ProductReviews, tips, and advice from real usersMar 25, 2026Download
ComparisonDataRobot vs AlteryxMar 25, 2026Download
ComparisonDataRobot vs SAP Analytics CloudMar 25, 2026Download
ComparisonDataRobot vs AnaplanMar 25, 2026Download
Suggested products
TitleRatingMindshareRecommending
Datadog4.3N/A97%209 interviewsAdd to research
Google Vertex AI4.1N/A100%15 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 8, 2026

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
By reviewers
By visitors reading reviews
Company SizeCount
Small Business65
Midsize Enterprise43
Large Enterprise184
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
13%
Educational Organization
9%
Computer Software Company
9%
University
8%
Retailer
8%
Healthcare Company
7%
Insurance Company
4%
Construction Company
4%
Real Estate/Law Firm
3%
Energy/Utilities Company
3%
Comms Service Provider
2%
Transportation Company
2%
Legal Firm
2%
Performing Arts
2%
Government
2%
Outsourcing Company
2%
Wholesaler/Distributor
1%
Non Profit
1%
Media Company
1%
Logistics Company
1%
Marketing Services Firm
1%
Security Firm
1%
 
DataRobot Reviews Summary
Author infoRatingReview Summary
Senior Data Reporting Analyst at University of Bradford3.5I'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.
Senior Java Software Engineer at GE4.5I’ve used DataRobot for five years to build, deploy, and monitor models quickly, boosting productivity fourfold and improving legacy model performance. It’s stable, scalable, and well supported, but pricey, and I’d like better accuracy metrics, automation, and full Python pipeline editing.
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