Description
Dagster is an open-source data orchestrator for machine learning, analytics, and ETL that helps developers build, test, and monitor data pipelines. Unlike traditional workflow managers, it treats data pipelines as software, bringing software engineering best practices to data work. Dagster provides a flexible programming model, rich visualization, and powerful testing capabilities that make data pipelines more maintainable and observable, enabling data engineers and scientists to collaborate effectively.
Key Features
- Data-aware orchestration
- Type-checked data pipelines
- Asset-based orchestration
- Built-in testing framework
- Rich visualization UI
Use Cases
- Data pipeline development
- Machine learning workflows
- ETL processes
- Analytics automation
- Data transformation
Pricing Model
Open-source with cloud option
Integrations
Python data ecosystem, SQL databases, Spark, Dbt, Cloud data platforms
Target Audience
Data engineers, Data scientists, MLOps practitioners, Analytics engineers, Platform teams
Launch Date
2019
Available On
Self-hosted, Cloud service, Kubernetes
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