Case Study: Radius Intelligence reduces data processing from days to hours and boosts team effectiveness with Databricks

Radius Intelligence - Customer Case Study

Radius Intelligence is a B2B marketing-intelligence platform that matches customer and external data across a 25‑million business index and hundreds of millions of listings, processing billions of data points. Their Hadoop-based pipeline on Amazon EMR became slow to run and hard to maintain as data sources grew—updates that customers expected weekly took days to process, onboarding new engineers was time-consuming, and experimenting with new algorithms was impractical.

Radius migrated to Apache Spark on Databricks Cloud (using Spark Core, MLlib, GraphX and Spark SQL with managed clusters and an interactive workspace), which enabled fast iteration, better collaboration, and modular code. As a result, core index builds dropped from more than a day to a few hours, data‑science explorations now complete in under an hour, codebase maintainability improved, and engineers can focus on modeling and data quality instead of low-level performance tuning.

Radius Intelligence

Darian Shirazi

CEO and Co-Founder