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.

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.