Dagster
UnclaimedData orchestration platform to build, schedule, and monitor data pipelines
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About Dagster
Data teams frequently operate without clear visibility into data dependencies and health, causing them to spend excessive time diagnosing pipeline failures after bad data reaches downstream consumers.
Dagster is an open-source data orchestrator designed around data assets. It structures how data is produced, tracked, and delivered across modern data stacks, binding lineage, dependencies, and data quality checks directly to the assets being generated.
The platform includes scheduling, integrated observability, failure context, and branch deployments to validate code changes before touching production environments. It supports hybrid deployment architectures, allowing organizations to keep compute in their own private infrastructure while utilizing a managed control plane.
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Features
Compare with Apache Airflow- Branch deployments
- Custom workflows
- Data lineage mapping
- Hybrid deployment
- Performance monitoring
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