Overview
Dagster is a data orchestrator designed to unify the development, scaling, and monitoring of AI and data pipelines. It provides a declarative programming model focused on data assets, enabling data engineers to define pipelines as code. Built-in lineage and observability tools facilitate faster issue detection and resolution, ensuring data quality and reliability. Dagster supports integrations with popular data tools like dbt, Databricks, Snowflake, and BigQuery, streamlining data movement, transformation, and model training. The platform’s architecture allows for flexible deployment options, including cloud-based and on-premise setups, with features like role-based access control and audit logs to support enterprise security and compliance requirements. Dagster's asset-based framework simplifies complex data workflows, making it easier for teams to build and maintain data platforms at scale.