Case Study: Atmosphere.tv saves $10,000 annually and scales data pipelines with Astronomer, Inc.

How Atmosphere.tv Scaled Data Pipelines and Saved $10,000 Annually with Astronomer

Atmosphere.tv, a digital out-of-home media company, needed a more scalable and efficient data platform as its growth outpaced its existing Domo-based setup. The limitations of slow transformations, 24-hour timeouts, and no staging or version control were hurting productivity, and Atmosphere turned to Astronomer, Inc. and its managed Airflow service, Astro, along with Cosmos for dbt orchestration.

Astronomer, Inc. helped Atmosphere.tv complete a six-month migration to a modern stack with Airflow, Snowflake, Sigma, dbt, and Cosmos. The new system sped up workflows from hours to minutes, cut post-deployment refreshes from hours to as little as five minutes, enabled parallel model runs, and saved about $10,000 per year while reducing Snowflake costs and improving scalability.

Atmosphere.tv

Chris Brundage

Data Engineer