Dagster is a data orchestration and DataOps platform, now part of Prefect, that helps teams build, run, and monitor reliable data pipelines. Its asset-based approach connects workflows to the data they produce, providing visibility into lineage, dependencies, quality signals, freshness, and failures across a data stack. The platform includes orchestration, data catalog and quality capabilities, cost insights, integrations, and observability tools.

Teams can use Dagster to manage ETL/ELT pipelines, automate dbt models, support data modernization, and build workflows for AI and machine learning. Dagster offers integrations with tools such as dbt, Snowflake, and Fivetran, plus hybrid deployment options that allow compute to run in a customer’s cloud or on-premises environment. Its managed Dagster+ offering adds enterprise capabilities, including branch deployments and operational monitoring, while Dagster+ AI uses platform context to help teams investigate issues and act with confidence.

The core orchestration framework is open source, with documentation, community resources, and support available to help teams adopt and scale the platform