Dagster

Dagster is a cloud-native orchestrator designed for the entire development lifecycle, offering integrated lineage and observability, a declarative programming model, and best-in-class testability. It serves as a modern data orchestrator platform that helps teams build, schedule, and monitor reliable data pipelines quickly and flexibly. Dagster acts as a unified control plane for building, scaling, and observing AI & data pipelines with confidence. It enables users to model various data assets like tables, files, and ML models, providing a built-in catalog, lineage, and cost insights from day one. The platform automatically tracks, documents, and audits every dataset to ensure data integrity, compliance, and transparency throughout its lifecycle. Dagster integrates with any stack, from S3 to Snowflake to PowerBI, and is built to provide an excellent developer experience while offering data leaders the transparency, control, and insights they need.

How to Use

To use Dagster, you can get started with a free 30-day trial or book a demo. The platform allows you to develop and test pipelines, monitor data quality, track complete data lineage, and leverage metadata and source observability. It supports testing code in any development stage locally, enabling automatic deployment to staging environments and confident shipping of data and AI products faster.

Key Features

• Data Orchestration
• Integrated Lineage and Observability
• Asset-based Orchestration
• Best-in-class Testability (local testing, branch deployments)
• Data Catalog & Quality
• Cost Tracking and Insights

Use Cases

• ETL/ELT Pipelines
• AI & Machine Learning Workflows
• Data Modernization
• Building Data Products
• Building Trustworthy AI Analytics