MLflowvsMake (Integromat)

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

MLflow

MLOps & Monitoring

Open-source platform for the ML lifecycle

Full review →Website ↗

Make (Integromat)

Automation Platforms

Visual automation platform connecting 1500+ apps

Full review →Website ↗
FeatureMLflowMake (Integromat)
CategoryMLOps & MonitoringAutomation Platforms
PricingFree (open-source)Free + Core $9/mo
GitHub Stars
✓ More stars
19k
—
PlatformsLinux, macOS, WindowsWeb
Key Features
  • ✓ Experiment tracking
  • ✓ Model registry
  • ✓ Deployment
  • ✓ Projects
  • ✓ Recipes
  • ✓ Visual builder
  • ✓ 1500+ integrations
  • ✓ AI modules
  • ✓ Webhooks
  • ✓ Data stores
  • ✓ Error handling
Pros
  • + Complete ML lifecycle management
  • + Framework-agnostic
  • + Strong model registry
  • + Apache open-source license
  • + Databricks integration
  • + 1,500+ app integrations
  • + Powerful visual editor
  • + Complex logic support
  • + Reliable execution
  • + Good error handling
Cons
  • − UI is dated
  • − Setup can be complex
  • − Limited real-time monitoring
  • − Less polished than W&B
  • − Pricing based on operations
  • − Can be expensive at scale
  • − Learning curve for advanced features
  • − Some integrations limited
Tags
mlopstrackingdeploymentopen-source
automationno-codeintegrationsworkflowapi

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