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.

Dagster Data Catalog

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.

Multi-Tenancy for Modern Data Platforms
Webinar

April 7, 2026

Multi-Tenancy for Modern Data Platforms

Learn the patterns, trade-offs, and production-tested strategies for building multi-tenant data platforms with Dagster.

Deep Dive: Building a Cross-Workspace Control Plane for Databricks
Webinar

March 24, 2026

Deep Dive: Building a Cross-Workspace Control Plane for Databricks

Learn how to build a cross-workspace control plane for Databricks using Dagster — connecting multiple workspaces, dbt, and Fivetran into a single observable asset graph with zero code changes to get started.

Dagster Running Dagster: How We Use Compass for AI Analytics
Webinar

February 17, 2026

Dagster Running Dagster: How We Use Compass for AI Analytics

In this Deep Dive, we're joined by Dagster Analytics Lead Anil Maharjan, who demonstrates how our internal team utilizes Compass to drive AI-driven analysis throughout the company.

DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform
DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform
Blog

March 17, 2026

DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform

DataOps is about building a system that provides visibility into what's happening and control over how it behaves

Unlocking the Full Value of Your Databricks
Unlocking the Full Value of Your Databricks
Blog

March 12, 2026

Unlocking the Full Value of Your Databricks

Standardizing on Databricks is a smart strategic move, but consolidation alone does not create a working operating model across teams, tools, and downstream systems. By pairing Databricks and Unity Catalog with Dagster, enterprises can add the coordination layer needed for dependency visibility, end-to-end lineage, and faster, more confident delivery at scale.

Announcing AI Driven Data Engineering
Announcing AI Driven Data Engineering
Blog

March 5, 2026

Announcing AI Driven Data Engineering

AI coding agents are changing how data engineers work. This Dagster University course shows how to build a production-ready ELT pipeline from prompts while learning practical patterns for reliable AI-assisted development.

How Magenta Telekom Built the Unsinkable Data Platform
Case study

February 25, 2026

How Magenta Telekom Built the Unsinkable Data Platform

Magenta Telekom rebuilt its data infrastructure from the ground up with Dagster, cutting developer onboarding from months to a single day and eliminating the shadow IT and manual workflows that had long slowed the business down.

Scaling FinTech: How smava achieved zero downtime with Dagster
Case study

November 25, 2025

Scaling FinTech: How smava achieved zero downtime with Dagster

smava achieved zero downtime and automated the generation of over 1,000 dbt models by migrating to Dagster's, eliminating maintenance overhead and reducing developer onboarding from weeks to 15 minutes.

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster
Case study

November 18, 2025

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster

UK logistics company HIVED achieved 99.9% pipeline reliability with zero data incidents over three years by replacing cron-based workflows with Dagster's unified orchestration platform.