Dagster Has a Free API: The Data Orchestration Platform That Treats Your Data Assets as First-Class Citizens

Your data pipeline has 200 Airflow DAGs. A table in your warehouse is wrong, but you don't know which DAG produced it, when it last ran, or what upstream data it depends on. Dagster flips the model: instead of defining tasks that happen to produce data, you define the data assets themselves — and Dagster figures out how to build them. What Dagster Actually Does Dagster is a data orchestration platform built around the concept of software-defined assets. Instead of writing "run this script at 6am" (Airflow's model), you declare "this table should exist, here's how to build it, and it depends on these other tables." Dagster handles scheduling, dependencies, freshness policies, and lineage automatically. The asset-centric model means you get a dependency graph of your entire data platform. Click on any table in the UI and see: what produces it, what consumes it, when it was last updated, and whether it's fresh. Data observability is built in, not bolted on. Dagster is open-source (Apache