One-click production deployment
Any data developer can develop and test production-grade data and ML workflows locally and deploy them in production with a single click - no changes in the code required.
Unify data and ML, AI workflows on a unified platform, following the best practices developed at Netflix and other modern data-driven organizations.
Hardening flows for production
Configure retry strategies, fallbacks, and timeouts to harden your flows against surprises. Observe failures and fix issues quickly locally.
Use Metaflow’s built-in dependency management to create stable execution environments or bring your own Docker images.
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Integrate to other flows and systems
Flows are not islands. They can react to events and data from surrounding systems and other flows.
The platform comes with a highly available event-bus that allows you compose sophisticated, reactive data and machine learning systems.
