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Releases

Showing 11 of 11 articles.

Dagster 1.12: Monster Mash

Dagster 1.12: Monster Mash

A refined Dagster experience. Faster navigation, GA Components, plug-and-play deployment, improved orchestration with FreshnessPolicies, and a new Support Center for builders at scale.

Dagster 1.11: Build Me Up Buttercup

Dagster 1.11: Build Me Up Buttercup

Significantly improved pipeline-building experience with Components and dg, enhanced orchestration capabilities, integration power-ups, and more.

Dagster 1.10: Mambo No 5

Dagster 1.10: Mambo No 5

Intuitive Concurrency Controls, Improved ELT integrations, and Developer Experience Upgrades

Dagster 1.9: Spooky

Dagster 1.9: Spooky

Declarative automation has officially graduated, BI in your asset graph, Airlift to streamline migrations, and more.

Dagster 1.8: Call Me Maybe

Dagster 1.8: Call Me Maybe

Ecosystem and integration improvements, data catalog improvements, new asset checks, new declarative automation, and more.

Announcing Dagster 1.7: Love Plus One

Announcing Dagster 1.7: Love Plus One

A major set of updates to Dagster Core ahead of our Dagster+ launch.

Announcing Dagster 1.6: Back to Black

Announcing Dagster 1.6: Back to Black

Major UI enhancements, Dagster Pipes upgrades and of course, dark mode :-)

Announcing Dagster 1.4: Material Girl

Announcing Dagster 1.4: Material Girl

The latest release brings major new dbt capabilities, new asset materialization controls, and more.

Announcing Dagster 1.2: Formation

Announcing Dagster 1.2: Formation

Enhanced partitioned asset support and the introduction of Pythonic config and resources, and integration updates.

Announcing Dagster 1.1: Thank U, Next

Announcing Dagster 1.1: Thank U, Next

A major release with Declarative Scheduling, multi-asset scheduling, and SDA partitioning. Plus Secrets management, Dagit enhancements, Integrations updates and more...

Introducing Dagster 1.0: Hello

Introducing Dagster 1.0: Hello

Announcing Dagster 1.0. - a stable foundation for building the orchestration layer for modern data platforms.