Dagster lands in modern DAG orchestration roundup

The interesting angle is that Dagster gets mindshare not just as a scheduler, but as a developer-friendly control plane for data and AI pipelines.

• –Dagster’s pitch now leans heavily on asset-aware orchestration, lineage, and observability, which can feel more “data-native” than classic task-first DAG tooling.
• –Airflow remains entrenched, but discussion trends increasingly frame Dagster as easier for local development, testing, and partitioned backfills.
• –For AI teams, the value proposition is less “new orchestrator” and more “unified layer” across dbt, warehouses, and model workflows.