Case Study: Astronomer boosts self-service analytics and productivity with Sigma Computing

How Astronomer Improves Efficiency with Sigma

Astronomer, a data orchestration company built on Apache Airflow, needed a better way to centralize data, eliminate duplicate efforts, and reduce ad hoc requests that were overwhelming the data team. With isolated data sources and no standard analytics workflow, teams were spending too much time on data discovery and custom dashboard requests instead of making decisions.

Sigma helped Astronomer centralize data on top of Snowflake, create joint metrics, and give business users a self-service, spreadsheet-like way to explore data and build dashboards. With Sigma, Astronomer scaled from 400 tasks to 14,000 tasks per day in under six months, reduced duplicate work, and improved productivity and decision-making across the organization.

Astronomer

Roger Magoulas

Director of Data Strategy