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Modern Data Orchestrator Platform | Dagster

Dagster is a unified control plane for teams to build, scale, and observe their AI & data pipelines with confidence.

Featuring a new modern homepage, enhanced asset health and freshness monitoring, customizable dashboards, and real-time insights with cost monitoring.

Built for modern data engineering workflows with local testing, branch deployments, and reusable components.

Say no to data silos.

Dagster lets teams collaborate without sacrificing velocity. Get platform-wide visibility across teams without giving up governance and quality. Dagster is the only modern orchestrator built for high-performing teams.

Your data at the center of it all.

Forget task-by-task tedium. Model your data assets, tables, files, ML models, notebooks, and more, and unlock a built-in catalog, lineage, and cost insights from day one.

Track changes, issues and data health.

Automatically track, document, and audit every dataset to ensure data integrity, compliance, and transparency across the entire lifecycle.

From S3 to Snowflake to PowerBI and more, Dagster's built-in integrations make it easy to unify your stack.

An developer experience engineers love with the transparency, control, and insights data leaders need.

Build reusable components so your teams can focus on business logic, not boilerplate.

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.

Test code in any stage. Not just in production.

Legacy orchestrators force you to test in production.
Dagster is built from the ground-up with software engineering best practices, so you can test in any dev-stage locally.

Automatically deploy to staging environments, and ship confidently.

Make data quality the foundation of your pipelines

Identify data quality issues long before your stakeholders notice, making data cleanup jobs a thing of the past.

Track the full lifecycle of all datasets

From its raw source to its final form—across every transformation, dependency, and workflow, whether it came from a database, an API, a file, or another process.

• End-to-end cost insights

• Full data & column-level lineage

• Custom metadata

Trust your outputs with end-to-end observability

Dagster doesn’t just track whether a task ran—it tracks metadata about the data itself and provides source observability so you always know:

• What data exists?
  (What columns and types exist in this dataset?)

• Where did it come from?
  (Did this come from Snowflake, an API? etc.)

• Is it fresh, complete, and trustworthy?
  (When was it last updated?)

“Dagster has been instrumental in empowering our development team to deliver insights at 20x the velocity compared to the past. From Idea inception to Insight is down to 2 days vs 6+ months before.”

Gu Xie

Head of Data Engineering

“Somebody magically built the thing I had been envisioning and wanted, and now it's there and I can use it.”

David Farnan-Williams

Lead Machine Learning Engineer

"We would not exist today as a company if we didn't move to a single unified codebase, with a real data platform beneath it."

Tom Vykruta

CEO and Cofounder

"Dagster is easy to use, it's ELT friendly, can integrate with the main modern tools out of box and allows you to automate whatever you want wherever it is."

Ismael Rodrigues

Lead Data Engineer | C&A Modas (C&A Pay)

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

October 1, 2025

Empowering engineers with flexibility and analysts with accessibility

September 30, 2025

How I took an excellent lakehouse tutorial and made it even better with modern data orchestration

September 25, 2025

The difference between components that thrive and components that collect digital dust? User experience design.

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