Managed Dagster Hosting
Workflow AutomationCloud-native data pipeline orchestrator
Dagster is a cloud-native data pipeline orchestrator with software-defined assets and built-in data quality checks — deployed and fully managed by ManageStacks on AWS, Azure, or GCP with automated SSL, monitoring, and daily backups.
About Dagster
Dagster is a data orchestration platform built around the concept of software-defined assets. Instead of thinking in terms of tasks and dependencies, you declare the data assets you want to exist and Dagster figures out how to build and maintain them. This asset-centric approach provides built-in data lineage, automated materialization, and integrated data quality checks.
Dagster is ideal for data and analytics engineering teams managing complex data pipelines across multiple sources and destinations. Its type system catches configuration errors before runtime, its partitioning system handles backfills elegantly, and its Dagit web UI provides full observability into asset health, run history, and pipeline structure.
Key Features
- Software-defined assets with automatic lineage tracking
- Dagit web UI for pipeline visualization and monitoring
- Built-in data quality checks and freshness policies
- Partition-aware scheduling and backfill management
- Type-checked configuration and resource system
- Integrations with dbt, Spark, Snowflake, and more
How ManageStacks Helps
ManageStacks deploys Dagster with its Dagit web UI, daemon process, and PostgreSQL backend on dedicated infrastructure with automated SSL, Grafana-based monitoring, daily backups, and one-click updates. Skip the Kubernetes configuration and start orchestrating data assets in minutes.
