Dagster
Asset-centric data orchestration platform that structures how data is built, observed, and delivered so both teams and AI agents can rely on it.
About
Dagster describes itself as the operational layer that structures how data is built, observed, and delivered, so both teams and AI agents can rely on it.
The platform covers orchestration through asset based pipelines that run across any tool in a stack, observation showing lineage, dependencies and data health across an entire platform rather than inside a single tool, AI activation that turns operational context into action with Dagster+ AI, and scaling through reusable components, shared standards, and built in guardrails.
The key design choice is being asset centric rather than task centric. Unlike traditional schedulers, Dagster attaches lineage, quality signals, and dependency context to every asset, so teams can see data health and the impact of a failure. The core orchestration framework is open source and available on GitHub, while Dagster+ is the managed cloud offering, adding branch deployments, hybrid deployment, role based access control, cost insights, and built in observability.
