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.

Try Dagster+

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.

"Dagster is the single pane of glass that our team uses to not only launch and monitor jobs, but also to surface visibility into data quality, metadata and lineage, testing environments, and costs."
Zachary Romer
Lead Data Infrastructure Engineer | Empirico

Latest writings

The latest news, technologies, and resources from our team.

dbt Fusion Support Comes to Dagster

August 22, 2025

dbt Fusion Support Comes to Dagster

Learn how to use the beta dbt Fusion engine in your Dagster pipelines, and the technical details of how support was added

What CoPilot Won’t Teach You About Python (Part 2)

August 20, 2025

What CoPilot Won’t Teach You About Python (Part 2)

Explore another set of powerful yet overlooked Python features—from overload and cached_property to contextvars and ExitStack

Dagster’s MCP Server

August 8, 2025

Dagster’s MCP Server

We are announcing the release of our MCP server, enabling AI assistants like Cursor to seamlessly integrate with Dagster projects through Model Context Protocol, unlocking composable workflows across your entire data stack.