Products
Data Orchestration

Orchestrate data and AI pipelines

Stop managing brittle data pipelines. 



Turn scattered pipelines into a single, coherent system—so your teams can ship AI‑ready data products faster, safer, and at scale.

Why modern data teams choose Dagster

Leave fragile legacy data pipelines behind.

Legacy orchestration tools hide your data in a black box of low-visibility tasks. Dagster flips the script and models the data assets you care about: your tables, files, ML models, and notebooks all united in a single platform.

Ship faster, sleep better.

Stop coding like it's 2005. Local testing, branch deployments, and reusable components mean you can ship with confidence. Spend more time focusing on what matters and less time trying to glue it all together.

Built-in data quality, catalog and cost insights.

Run quality checks, validate freshness, trace data lineage, and see the cost behind every operation in one place. 



Finally start finding problems before your stakeholders do.

Future-proof your stack

Know which pipelines you can standardize

Dagster organizes everything around your data assets—so you can reduce complexity, write modular code, and reuse work across teams.

Designed for testability across all dev stages

From local dev to production, Dagster supports modern software engineering practices with modern dev APIs, CI/CD support, and isolated, testable code.

Know exactly what’s happening with your pipelines

With built-in observability, lineage, and real-time costs, you always know the state of your data platform—and can catch issues before they cause problems.

Ship data and AI products faster

Automate, monitor, and optimize your data pipelines with ease. Get started today with a free trial or book a demo to see Dagster in action.

Try Dagster+

Orchestration without limits

From ingestion to transformation, modeling to delivery—Dagster makes it easy to build reliable workflows at every layer of the stack.

From warehouses to ML models

Dagster fits wherever you interface with data—whether that's orchestrating workflows in Snowflake, BigQuery, dbt, Python scripts, or modern AI pipelines.

Develop & test locally, in any stage in the development cycle

Develop locally, collaborate in code, watch it unfold in Dagster and deploy confidently, without the need to launch. 



Everyone—from analysts to platform engineers—can contribute without friction.

Flexible enough to orchestrate anything

Dagster integrates with your favorite tools—like dbt, Spark, Fivetran, and Snowflake—but it’s more than just a connector. You define your pipelines in Dagster itself, giving you full control over orchestration, observability, and data quality across your stack

"Dagster changed my understanding of orchestration like dbt did for transformation. Unlocks a new part of your brain."
Emil Sundman
Data Engineer | Bizware

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.