The data orchestration platform for the modern data stack, designed for developing, operating, and observing data assets.
Dagster is an open-source data orchestrator that goes beyond simple task scheduling. It provides a unified programming model for building, testing, and operating data assets, emphasizing data quality, lineage, and observability throughout the data lifecycle. Unlike traditional orchestrators, Dagster treats data as a first-class citizen, allowing engineers to define data assets and their dependencies explicitly, which leads to more robust and understandable data systems.
The platform offers a rich set of features including a data catalog for discovering and understanding data assets, integrated data quality checks to prevent errors, and cost insights to optimize resource usage. It supports a wide range of integrations with popular data tools and is designed to handle diverse workflows, from batch ETL/ELT processes to real-time data products and machine learning pipelines. Dagster aims to empower data teams to ship data faster and scale smarter by providing a developer-friendly experience and comprehensive operational capabilities.
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