What are the key differences between Dagster and Apache Airflow?

Compare Dagster and Apache Airflow side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Dagster and Apache Airflow scored?

Dagster has an AI score of 8.2/10 and Apache Airflow has an AI score of 6.2/10. Scores are based on features, user satisfaction, and overall quality analysis.

Dagster vs Apache Airflow 2026 — Compared

Dagster

Apache Airflow

WINNER Dagster

Dagster edges ahead with a score of 8.2/10 compared to 6.2/10 for Apache Airflow. While both are highly rated in their r...

emoji_events WINNER

Dagster

8.2 Very Good

Database Get Dagster open_in_new

Apache Airflow

6.2 Fair

Data Science Get Apache Airflow open_in_new

Dagster Pricing not available

payments

Apache Airflow Free plan available

psychology AI Verdict

Dagster edges ahead with a score of 8.2/10 compared to 6.2/10 for Apache Airflow. While both are highly rated in their respective fields, Dagster demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Dagster

verified Confidence: Low

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description Overview

Dagster

Dagster is a data-aware orchestration platform that focuses on managing data assets rather than just tasks. By treating data as a first-class citizen, Dagster provides better visibility into data lineage, dependencies, and quality. It is designed to be highly testable and modular, allowing data teams to build robust, maintainable pipelines that are easy to reason about. Dagster's focus on the 'dat...

Apache Airflow

Apache Airflow is the industry-standard platform for programmatically authoring, scheduling, and monitoring data workflows. It uses Python to define complex data pipelines as Directed Acyclic Graphs (DAGs), providing unparalleled flexibility and control. Airflow is the 'glue' that holds the modern data stack together, orchestrating tasks across various systems like warehouses, transformation tools...