Ship data pipelines with extraordinary velocity
Dagster helps data engineers tame complexity. Elevate your data pipelines with software-defined assets, first-class testing, and deep integration with the modern data stack.
The cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
Manage your data assets with code
A single pane of glass for your data platform
Monitor runs across all your jobs in one place with the run timeline view.
Zoom into a run to pin down issues with surgical precision with the run details view.
See each asset’s context and update it, all in one place - materializations, lineage, owner, schema, schedule, partitions, and more.
Launch and monitor backfills over every partition of your data.
Dagster Cloud
From pull request to production. Effortlessly.
The enterprise orchestration platform that puts developer experience first, with fully serverless or hybrid deployments, native branching, and out-of-the-box CI/CD.
Dagster powers data platforms for innovative organizations all over the world
Read our users’ success stories
Data teams from startups to Fortune 500 companies alike are having a blast building pipelines with Dagster
Join the Slack community“Dagster is the single pane of glass where I can see everything that’s happening in my data world.”
Bob Zoeller
Founding Engineer
“With Dagster, we've brought a core process that used to take days or weeks of developer time down to 1-2 hours.”
Ben Pleasanton
Data Software Engineer
“Dagster empowers my stakeholder teams to own their data assets end-to-end like no other orchestrator can.”
David Wallace
Staff Data Engineer
“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
“With Dagster I have all the tools I need to tame the complexity.”
David Laing
Staff II Data Engineer
“Dagster gives people across our organization the ability to iterate quickly on data projects in a safe environment.”
Dennis Hume
Staff Data Engineer
Latest posts
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Best Practices in Structuring Python Projects
- Name
- Elliot Gunn
- Handle
- @elliot
Partitions in Data Pipelines
- Name
- Sandy Ryza
- Handle
- @s_ryz
Tracking the Fake GitHub Star Black Market with Dagster, dbt and BigQuery
- Name
- Fraser Marlow
- Handle
- @frasermarlow
- Name
- Yuhan Luo
- Handle
- @yuhan