Data pipelines that don't feel like a drag

Your analytics pipelines are the foundation of your data stack, so why not give them first-class treatment.

Build true end-to-end pipelines with the only modern data orchestrator with observability, lineage, and reliability.

Business logic is complicated, data pipelines don’t have to be

Dagster simplifies pipeline building with best-in-class integrations with your favorite ETL tools, all with a developer experience that will make data teams feel like software engineers.

Too many tools, little visibility

A unified control plane enables teams to use their preferred tools while maintaining visibility and governance without sacrificing velocity.

Break down data silos and accelerate productivity with the only modern data orchestrator built for high-performing teams.

Move at the speed of AI

Built for modern data engineering workflows with local testing, branch deployments, and all the software engineering best practices your teams expect.

Define easy-to-use reusable components so your teams can focus on business logic, not boilerplate, so you can ship data and AI products to market faster.

Low-risk incremental adoption

Dagster lives alongside your existing data stack seamlessly. Integrate your pipelines seamlessly with a best-in-class dbt integration.

Start with a single team or workload, prove value, monitor your existing pipelines, and expand at your pace. Eliminate risky, disruptive migrations while still modernizing your platform.

Stop reacting, start innovating

A data orchestrator with batteries included

Organize your pipelines around the data assets that matter, not just tasks. Get complete visibility into data lineage and dependencies across your entire ecosystem.

Your data doesn't stop after it's loaded, so neither should your lineage. Navigate your data platform with a modern UI that lets you zoom out to see the full picture or drill in to troubleshoot individual assets—all with the observability and controls you need built right in.

Quality should not be an afterthought

Define data quality at the source with asset checks and unit tests. Prevent data outages with built-in monitoring and alerts. Get full observability of pipeline health and lineage for faster debugging.

Build locally and ship confidently

Build and test your data pipelines locally, then deploy confidently to production. Write ETL in pure Python with reusable components that eliminate boilerplate and standardize best practices.

Unified ETL & analytics

KIPP streamlined its fragmented data stack with Dagster, creating a unified platform for ETL and analytics. This improved observability and lineage and led to faster development and better data quality.

From weeks to days
KIPP accelerated development by reducing integration times from weeks to days.
Improved observability
Real-time alerts and lineage tracking improved data reliability.

Why teams love Dagster

Seamless integration & scalability

Connect to your existing data stack and scale as your business grows—without bottlenecks.

Built for developers, loved by data leaders

A developer-friendly platform that provides the transparency, control, and insights data leaders need.

Future-proof your data strategy

Scale with your growing data and AI workloads ahead with a flexible, open-source foundation that evolves with your needs.

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+

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.