Dagster vs airflow 3. Which to pick?

Summary

In the battle for the best data orchestrator, more BI professionals are turning to Dagster for its functionality and user-friendliness over Airflow.

The choice between Dagster and Airflow

A Reddit user seeks advice on which orchestrator to choose as his startup begins to scale. He considers Dagster and Airflow, focusing on batch jobs and ETL processes for data refreshes. Both tools are noted to consume similar resources, although there are concerns about Airflow's efficiency and its allegedly high memory usage.

Implications for the BI Market

This decision comes at a pivotal time when the demand for reliable data orchestrators is rising. Dagster is solidifying its position by offering users a more flexible and intuitive interface, while Airflow, a well-established player, faces competition from emerging tools. This indicates a shift in the market where usability and adaptability are becoming increasingly crucial for BI professionals.

Concrete takeaway for BI professionals

BI professionals should thoroughly investigate which orchestrator best meets their organization's specific needs, especially as they scale. Conducting pilot projects with both Dagster and Airflow is recommended to evaluate user experience and performance in practice before making a final choice.