Case Study: Digital Turbine achieves greater efficiency and lower costs with Databricks

Digital Turbine uses Databricks on Google Cloud to know their customers better

Digital Turbine, a mobile technology company serving telcos, advertisers, and publishers, needed to reduce the heavy maintenance burden of its ETL-based data warehouses and improve data access across teams. The company turned to Databricks and Databricks SQL, then migrated to Google Cloud to streamline its data environment and lower costs.

Using Databricks on Google Cloud, Digital Turbine improved efficiency with Databricks SQL Serverless, Google Cloud tools like BigQuery and Vertex AI, and Structured Streaming. The results included a 20% reduction in data team workload, cluster startup times cut from 10–15 minutes to seconds, release cycles shortened from three weeks to less than a week, and savings of tens of thousands of dollars per month in hosting and Databricks usage.

Digital Turbine

Dan Ferrante

Director of Data Management