With Dagster, you get to see the metadata, the last update, and how the asset connects with other data—all in one, searchable view.
Get direct access to the data behind the inputs & outputs of your pipelines across the org.
Dagster’s catalog stays in sync with every run, so your team never has to question the accuracy or freshness of data, where it lives, and how it flows.
No manual updates or painful integration projects required.
When something breaks, most teams scramble across tools to trace what ran, what failed, and what was affected.
Dagster gives you a single place to investigate issues—where metadata, lineage, and run status are all connected.
Dagster’s catalog is part of the orchestration layer—automatically populated with metadata, always up to date, and always in sync with your pipelines. No syncing, no setup, no drift.
Because the catalog is part of Dagster, it’s automatically updated on every run. No more stale metadata or manual syncing.
Understand dependencies and impacts at a glance—with visual lineage that’s generated automatically, no configuration required.
Search by asset name, type, freshness, or owner—right inside the Dagster UI. No extra tools or integrations needed.
Unlock the power of data orchestration with our demo or explore the open-source version.
Try Dagster+
Browse assets, inspect metadata, trace lineage, and explore dependencies—all in one clean, searchable interface.
From freshness to owners to inputs and outputs—you get everything you need to trust and understand your data.
You can trace upstream inputs and downstream dependencies without digging through docs or guessing where data comes from.
When you understand how everything is connected, you can ship updates without breaking things.
See what changed, where it came from, and how it impacted everything downstream—without pulling in another team.
A data catalog platform is a centralized system for discovering, understanding, and managing data assets across an organization. It documents what data exists, where it lives, how it was produced, who owns it, and how it connects to other data. The goal is to reduce the time teams spend hunting for trustworthy data and eliminate redundant work caused by poor visibility into existing assets.
