Finally, an org-wide data catalog you can trust
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.
A data catalog that shows you what's happening in real-time
Your catalog, always up-to-date
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.
Triage issues in one dashboard, not many
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.
An org-wide catalog that lives where your pipelines run
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.
What makes Dagster’s catalog different
Always reflects the latest state of your pipelines
Because the catalog is part of Dagster, it’s automatically updated on every run. No more stale metadata or manual syncing.
Organization-wide data lineage
Understand dependencies and impacts at a glance—with visual lineage that’s generated automatically, no configuration required.
Find the data and assets you need, fast
Search by asset name, type, freshness, or owner—right inside the Dagster UI. No extra tools or integrations needed.
Start your data journey today
Unlock the power of data orchestration with our demo or explore the open-source version.
A catalog that connects teams
Browse assets, inspect metadata, trace lineage, and explore dependencies—all in one clean, searchable interface.
Search, filter, and drill into any asset
From freshness to owners to inputs and outputs—you get everything you need to trust and understand your data.
Automatically maps lineage across pipelines, tools, and teams
You can trace upstream inputs and downstream dependencies without digging through docs or guessing where data comes from.
Make confident, informed changes
When you understand how everything is connected, you can ship updates without breaking things.
Understand what broke—and why
See what changed, where it came from, and how it impacted everything downstream—without pulling in another team.
Frequently asked questions
What is a data catalog platform?
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.
How is Dagster's data catalog platform different from standalone catalog tools?
Most standalone catalog tools work by ingesting metadata from external systems after the fact, which means they're constantly out of sync and require dedicated effort to maintain. Dagster's catalog is built directly into the orchestrator. Because Dagster already manages the pipelines that produce your data, it captures rich, real-time metadata as a natural byproduct of running those pipelines. There's no separate catalog to maintain and no metadata gap to close.
What kind of metadata does Dagster's data catalog platform surface?
Dagster surfaces metadata at multiple levels: asset definitions (what the asset is, who owns it, what tags apply), operational history (when it last ran, whether it succeeded, what changed), and structural details like column-level lineage and raw SQL or Spark queries for structured assets. You can navigate upstream and downstream dependencies for individual columns, not just assets.
Who is the data catalog platform designed for?
Both pipeline builders and data consumers. Engineers get the full operational context they need to manage and debug pipelines. Analysts and business stakeholders can use Catalog Mode, a simplified view that removes pipeline-specific detail and surfaces just the data asset information they need. Both groups work from the same system of record without requiring separate tooling or additional user seats.
Does Dagster's data catalog platform support external assets?
Yes. Dagster's catalog can include assets managed outside of Dagster pipelines. External assets can be registered and cataloged alongside Dagster-native assets, so all key data appears in one searchable, unified view regardless of where it originates.
How does Dagster's data catalog platform handle asset ownership and governance?
Asset owners can be assigned at the definition level and are searchable and filterable across the platform. Owner metadata can also be used to target alert policies, which is useful for decentralized data teams where different groups are responsible for different parts of the platform. Definition tags give teams additional ways to sort, filter, and organize large sets of assets.
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The latest news, technologies, and resources from our team.
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