DataRobot vs Make (Integromat): Complete Comparison (2026)
Choosing between DataRobot and Make (Integromat) is a common decision for ai & machine learning buyers in 2026. Both DataRobot and Make (Integromat) are established players, founded in 2012 and 2012 respectively. DataRobot serves 3K+ orgs users while Make (Integromat) has 800K+ users globally. DataRobot differentiates with automl and model deployment, while Make (Integromat) leads with visual workflow builder and 1500+ app integrations. In this head-to-head comparison, Make (Integromat) earns a higher hiltonsoftware.co score of 94/100 — but the right choice depends on your specific needs, budget, and team size.
Quick Comparison
Feature-by-Feature Comparison
Pros & Cons at a Glance
After comparing DataRobot and Make (Integromat) across features, pricing, and user satisfaction, Make (Integromat) takes the lead with a score of 94/100 versus DataRobot's 86/100. Make (Integromat)'s key advantages include "very powerful and flexible automation" and "better than zapier for complex flows". That said, DataRobot has its own strengths — particularly "excellent automated ml capabilities" — making it a viable alternative for specific use cases.
On pricing, there's a clear difference: Make (Integromat) offers a free plan, making it more accessible for individuals and small teams exploring ai & machine learning solutions. DataRobot starts at Custom pricing with no free tier, but often justifies the cost with automl and model deployment.
Bottom line: Choose DataRobot if you need enterprises wanting automated ml without deep data science expertise. Go with Make (Integromat) if your priority is power users building complex, multi-step automations between apps. Both are strong ai & machine learning tools — we recommend trying the free plan of each before committing.
Enterprises wanting automated ML without deep data science expertise.
Power users building complex, multi-step automations between apps.