Case Study: MediaRadar | Vivvix increases ad processing throughput with Databricks

Serving enhanced video advertisement insights to clients

MediaRadar | Vivvix, an advertising intelligence company, needed a faster way to handle rapidly growing ad volumes and overcome manual data processing, fragmented workflows, and limits in its previous SQS-based setup. The company turned to Databricks, using Databricks Mosaic AI and Apache Spark Structured Streaming to support ad classification and data management at scale.

With Databricks, MediaRadar | Vivvix automated continuous data ingestion and streamlined its end-to-end workflow, replacing manual operator-heavy processes with real-time processing. The result was the ability to process thousands of ads per hour, helping achieve a 150% increase in hourly throughput and delivering more timely, accurate insights to customers.

MediaRadar | Vivvix

Dong-Hwi Kim

Senior Machine Learning (ML) Engineer