Dagster
Open SourceFundedUnified platform to build, scale, and observe AI and data pipelines confidently
About Dagster
Dagster is an open-source data orchestrator platform designed for enterprises to build, scale, and monitor AI and data pipelines with reliability and clarity. It enables teams to automate ETL/ELT workflows, orchestrate data transformations, and accelerate machine learning development by streamlining data preparation, model training, and experiment tracking. The platform integrates observability features such as lineage, alerting, and real-time health metrics to maintain data trustworthiness and operational health.
Targeted at data engineering and analytics teams within large organizations, Dagster supports complex data environments by providing a unified control plane that enhances collaboration and governance. Its enterprise capabilities include role-based access control, single sign-on, multi-tenant deployments, audit logging, and compliance with standards like SOC 2 and HIPAA. This makes it suitable for industries requiring stringent data security and operational transparency. Dagster’s flexibility in deployment and integration with popular tools like dbt and Snowflake further supports modern data platform modernization and AI readiness.
Key Capabilities
- ✓Data orchestration for ETL/ELT pipelines
- ✓Integrated observability with lineage and alerting
- ✓AI and ML workflow automation
- ✓Role-based access control and SSO support
- ✓Multi-tenant deployments with audit logging
Integrations
Other ML Platforms & MLOps Vendors
View allRelated Buyer Guides
Independent evaluation frameworks for this category.
This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .