Make (Integromat) vs MLflow: Complete Comparison (2026)
In comparing Make (Integromat) and MLflow 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. MLflow excels for ml teams wanting free, open-source experiment tracking and model management with free and open-source. Make (Integromat) offers Visual workflow builder, 1500+ app integrations, AI tools starting at $9/mo with a free plan. MLflow provides Experiment tracking, Model registry, Model serving from Free with a free tier. For teams prioritizing value, Make (Integromat) delivers a hiltonsoftware Score of 79/100. Make (Integromat) and MLflow 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. Make (Integromat) serves 800K+ users globally (founded 2012) while MLflow reports 500K+ active users (founded 2018).
Make (Integromat) vs MLflow at a Glance
What are the main differences between Make (Integromat) and MLflow?
Make (Integromat) and MLflow 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 Make (Integromat) vs MLflow?
Which is better, Make (Integromat) or MLflow?
After evaluating Make (Integromat) and MLflow across features, pricing, integrations, and user satisfaction, Make (Integromat) earns a higher hiltonsoftware Score of 79/100 versus MLflow at 74/100. Make (Integromat) stands out for "very powerful and flexible automation" and "better than zapier for complex flows". MLflow delivers competitive advantages in "free and open-source", making MLflow a viable alternative.
Both Make (Integromat) and MLflow offer free plans. Make (Integromat) paid plans start at $9/mo while MLflow begins at Free. ROI depends on which features justify upgrading.
Bottom line: Choose Make (Integromat) for power users building complex, multi-step automations between apps. Choose MLflow for ml teams wanting free, open-source experiment tracking and model management. Both Make (Integromat) and MLflow are established ai & machine learning platforms.
Power users building complex, multi-step automations between apps.
ML teams wanting free, open-source experiment tracking and model management.
Make (Integromat) vs MLflow: 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.