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Data Infrastructure

Dagster Labs

Data orchestration platform centered on data assets, with open source core

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About Dagster Labs

Dagster Labs develops Dagster, an open source orchestrator that models pipelines as software-defined data assets, and Dagster+, a managed platform. It provides lineage, testing and observability for data and AI pipelines. Data engineering teams use it as an alternative to task-based schedulers.

Common use cases

  • Pipeline orchestration
  • Data asset management
  • ML pipeline scheduling
  • dbt orchestration

Products and services

Dagster open source

Orchestration framework.

Dagster+

Managed and hybrid deployment with observability and access control.

Key features

  • Asset-based orchestration
  • Lineage
  • Data quality checks
  • Partitioned backfills
  • Observability
  • Git-based workflows

Integrations

  • dbt
  • Snowflake
  • Databricks
  • Fivetran
  • Airbyte
  • Kubernetes
  • AWS

Dagster Labs alternatives

FAQs

Is it open source?

Yes. Dagster+ adds managed features.

How is it different from Airflow?

It organizes work around data assets rather than tasks.

Where does it run?

Self-hosted or in Dagster+ cloud and hybrid options.

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