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.
Dagster powers data platforms for innovative organizations all over the world
Read our users' success stories
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.
Get details on each asset: Freshness, status, schema, metadata, and dependencies displayed in one consolidated view. Model and organize thousands of assets, giving you plenty of room to grow.
Dagster+
From pull request to production. Effortlessly.
The enterprise orchestration platform that puts developer experience first, with fully serverless or hybrid deployments, operational observability, data cataloging, and out-of-the-box CI/CD.
Dagster+ brings you an asset-oriented approach to go way beyond what traditional orchestration delivers.
Data teams from startups to Fortune 500 companies alike are having a blast building pipelines with Dagster
Join the Slack community“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
“Dagster Insights has been an invaluable tool for our team. Being able to easily track Snowflake costs associated with our dbt models has helped us identify optimization opportunities and reduce our Snowflake costs.”
Timothée Vandeput
Data Engineer
“Dagster is the single pane of glass that our team uses to not only launch and monitor jobs, but also to surface visibility into data quality, track asset metadata and lineage, manage testing environments, and even track costs associated with Dagster and the external services that it manages.”
Zachary Romer
“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
“Being able to visualize and test changes using branch deployments has enabled our data team to ship faster”
Aaron Fullerton
“Dagster brings software engineering best practices to a data team that supports a sprawling organization with minimal footprint.”
Emmanuel Fuentes
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Dagster 1.9: Spooky
- Name
- Sandy Ryza
- Handle
- @s_ryz
AI's Long-Term Impact on Data Engineering Roles
- Name
- Fraser Marlow
- Handle
- @frasermarlow
Case Study: KIPP - Building a Resilient Data Platform with Dagster
- Name
- Fraser Marlow
- Handle
- @frasermarlow