Your platform for AI and data pipelines.

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

Dagster+ Summer Update

Preview new Dagster+ features including freshness and asset health monitoring, a redesigned asset catalog, and realtime insights.

Data engineering doesn't have to be a drag.

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.

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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.

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Track changes, issues and data health.

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

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Data engineering on rails.

Integrates with any stack.

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

Built for engineers,
loved by data leaders.

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

Self-service isn't a pipe dream.

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

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.

Data Engineers can have
nice things too.

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?)

Trusted by Data Teams.
Built for Scale. Ready for You.

“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)

Latest writings

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

Big Cartel Brought Fragmented Data into a Unified Control Plane with Dagster

June 3, 2025

Big Cartel Brought Fragmented Data into a Unified Control Plane with Dagster

Within six months, Big Cartel went from "waiting for dashboards to break" to proactive monitoring through their custom "Data Firehose," eliminated inconsistent business metrics that varied "depending on the day you asked," and built a foundation that scales from internal analytics to customer-facing data products.

How Vanta Eliminated Data Bottlenecks with Dagster

May 22, 2025

How Vanta Eliminated Data Bottlenecks with Dagster

Dagster is a central piece of everything we do. Without it, we would not have been able to get to the level of self-service we are at today.

Beyond Point to Point

May 20, 2025

Beyond Point to Point

Why Modern Data Teams Need Orchestration, Not Just Integration