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.

Multi-Tenancy for Modern Data Platforms
Webinar

April 7, 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.

DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform
DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform
Blog

March 17, 2026

DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform

DataOps is about building a system that provides visibility into what's happening and control over how it behaves

Unlocking the Full Value of Your Databricks
Unlocking the Full Value of Your Databricks
Blog

March 12, 2026

Unlocking the Full Value of Your Databricks

Standardizing on Databricks is a smart strategic move, but consolidation alone does not create a working operating model across teams, tools, and downstream systems. By pairing Databricks and Unity Catalog with Dagster, enterprises can add the coordination layer needed for dependency visibility, end-to-end lineage, and faster, more confident delivery at scale.

Announcing AI Driven Data Engineering
Announcing AI Driven Data Engineering
Blog

March 5, 2026

Announcing AI Driven Data Engineering

AI coding agents are changing how data engineers work. This Dagster University course shows how to build a production-ready ELT pipeline from prompts while learning practical patterns for reliable AI-assisted development.

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.