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 13, 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.

Announcing the Dagster+ Terraform Provider
Announcing the Dagster+ Terraform Provider
Blog

April 28, 2026

Announcing the Dagster+ Terraform Provider

The Dagster+ Terraform provider lets platform teams manage deployments, access controls, alerting, and more as code. Define entire environments declaratively, review changes through pull requests, and integrate Dagster+ into your existing infrastructure workflows.

The Missing Half of the Enterprise Context Layer
The Missing Half of the Enterprise Context Layer
Blog

April 22, 2026

The Missing Half of the Enterprise Context Layer

AI agents that only understand business definitions without knowing whether the underlying pipeline actually succeeded are confidently wrong and operational context from the orchestrator is the missing piece.

How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind
How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind
Blog

April 20, 2026

How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind

Once your pipelines span multiple Databricks workspaces, you're no longer orchestrating a single system you're coordinating a distributed one.

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.

Modernize Your Data Platform for the Age of AI
Guide

January 15, 2026

Modernize Your Data Platform for the Age of AI

While 75% of enterprises experiment with AI, traditional data platforms are becoming the biggest bottleneck. Learn how to build a unified control plane that enables AI-driven development, reduces pipeline failures, and cuts complexity.

Download the eBook on How to Scale Data Teams
Guide

November 5, 2025

Download the eBook on How to Scale Data Teams

From a solo data practitioner to an enterprise-wide platform, learn how to build systems that scale with clarity, reliability, and confidence.

Download the eBook Primer on How to Build Data Platforms
Guide

February 21, 2025

Download the eBook Primer on How to Build Data Platforms

Learn the fundamental concepts to build a data platform in your organization; covering common design patterns for data ingestion and transformation, data modeling strategies, and data quality tips.

AI Driven Data Engineering
Course

March 19, 2026

AI Driven Data Engineering

Learn how to build Dagster applications faster using AI-driven workflows. You'll use Dagster's AI tools and skills to scaffold pipelines, write quality code, and ship data products with confidence while still learning the fundamentals.

Dagster & ETL
Course

July 11, 2025

Dagster & ETL

Learn how to ingest data to power your assets. You’ll build custom pipelines and see how to use Embedded ETL and Dagster Components to build out your data platform.

Testing with Dagster
Course

April 21, 2025

Testing with Dagster

In this course, learn best practices for testing, including unit tests, mocks, integration tests and applying them to Dagster.