Dagster

About Dagster

Dagster is a cloud-native data orchestrator designed for building, scheduling, and monitoring reliable AI and data pipelines. It introduces an asset-based framework that treats datasets, models, and outputs as first-class citizens, enabling teams to track lineage, manage dependencies, and ensure data quality throughout the pipeline lifecycle. With built-in observability, Dagster provides cost insights and a data catalog, making it easier to modernize data operations and maintain robust ETL/ELT workflows.

Dagster supports both data and machine learning pipelines, offering declarative programming models and integrated data testing capabilities. Its cloud-native design allows seamless deployment across environments, while the focus on data products and lineage helps organizations maintain transparency and trust in their data assets. By combining orchestration with observability, Dagster empowers teams to build scalable, production-ready pipelines without sacrificing visibility or control.