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Settings for connecting orchestration servers to persistent relational database backends like MySQL or SQLite.
Distinct from SQLite or PostgreSQL Storage: Distinct from SQLite or PostgreSQL Storage: focuses on the configuration of the server's metadata storage backend rather than the storage adapter implementation itself.
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ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Connects the server to an internal or external MySQL or SQLite database for persisting workflow metadata and settings.