Dagster

You define data assets such as tables, files and ML models in code, and Dagster runs, schedules and monitors the pipelines that produce them.

Dagster is a cloud-native data orchestrator for building reliable AI and data pipelines, with a declarative programming model that treats each asset as the thing you manage.

What you get back is visibility.

Dagster has a built-in catalog, lineage and cost insights from the start, and it tracks, documents and audits each dataset so you can see where data came from and what changed.

Testability is a stated focus, which matters if your team wants to check pipelines before they reach production.

Dagster connects to a wide range of stacks, from S3 to Snowflake to PowerBI.

Developers get the code-first workflow, and data leaders get the oversight.