Dagster+

Dagster is an AI-native DataOps platform that orchestrates, observes, and activates data across an organization's entire stack. It solves the problem of unreliable data pipelines by attaching lineage, quality signals, and dependency context to every asset, enabling teams to catch issues early and understand their impact. The platform is designed for data engineering, operations, and platform teams in mid-market and enterprise companies. It differentiates itself from traditional schedulers like Airflow by being asset-centric rather than task-centric, and it supports hybrid deployment for compliance and data residency.

Key features

• Asset-based pipeline orchestration
• Lineage and dependency tracking
• Data health monitoring
• Built-in observability dashboards
• Branch deployments for safe changes
• Hybrid deployment options
• Native integrations with dbt, Snowflake, Fivetran
• AI-powered diagnostics and actions