DataRobot vs Make (Integromat): Complete Comparison (2026)
In comparing DataRobot and Make (Integromat) in 2026, Make (Integromat) is the stronger choice for power users building complex, multi-step automations between apps due to very powerful and flexible automation. DataRobot excels for enterprises wanting automated ml without deep data science expertise with excellent automated ml capabilities. DataRobot offers AutoML, Model deployment, MLOps starting at Custom pricing. Make (Integromat) provides Visual workflow builder, 1500+ app integrations, AI tools from $9/mo with a free tier. For teams prioritizing value, Make (Integromat) delivers a hiltonsoftware Score of 79/100. DataRobot and Make (Integromat) compete in the ai & machine learning segment of the SaaS market, where cloud-native solutions, API integrations, and workflow automation drive enterprise and SMB adoption. Other leading ai & machine learning tools include ChatGPT, Claude, GitHub Copilot. DataRobot serves 3K+ orgs users globally (founded 2012) while Make (Integromat) reports 800K+ active users (founded 2012).
DataRobot vs Make (Integromat) at a Glance
What are the main differences between DataRobot and Make (Integromat)?
DataRobot and Make (Integromat) differ across ease of use, features, value, support, integrations, scalability, and learning curve. Make (Integromat) leads in 7 of 7 categories.
What are the pros and cons of DataRobot vs Make (Integromat)?
Which is better, DataRobot or Make (Integromat)?
After evaluating DataRobot and Make (Integromat) across features, pricing, integrations, and user satisfaction, Make (Integromat) earns a higher hiltonsoftware Score of 79/100 versus DataRobot at 59/100. Make (Integromat) stands out for "very powerful and flexible automation" and "better than zapier for complex flows". DataRobot delivers competitive advantages in "excellent automated ml capabilities", making DataRobot a viable alternative.
On pricing, Make (Integromat) offers a free plan for SMBs and startups. DataRobot starts at Custom pricing with no free tier, but justifies the cost with automl and model deployment and enterprise-grade scalability.
Bottom line: Choose DataRobot for enterprises wanting automated ml without deep data science expertise. Choose Make (Integromat) for power users building complex, multi-step automations between apps. Both DataRobot and Make (Integromat) are established ai & machine learning platforms.
Enterprises wanting automated ML without deep data science expertise.
Power users building complex, multi-step automations between apps.
DataRobot vs Make (Integromat): Frequently Asked Questions
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Reviewed by Sarah Mitchell, Cloud & Developer Tools Editor. Last updated: 2026-04-24. Pricing verified: March 2026.
Read our scoring methodology to understand how the hiltonsoftware Score is calculated.