Case Study: Tapad achieves lower resource consumption and more efficient integrations with Scalac

Adtech data retrieval, processing and distribution process

The adtech company Tapad engaged Scala development vendor Scalac to improve the efficiency of its data integration process. Tapad's initial Apache Spark-based ETL process was costly and could not flexibly handle varying data sizes or the diverse requirements of its third-party channels, leading to high memory consumption and poor resource utilization.

Scalac solved this by re-architecting the system with Akka Streams, implementing a resource-safe streaming solution. This approach replaced the Spark cluster, allowing the entire process to run efficiently on a single machine. The results for Tapad, facilitated by Scalac, included significantly lower operational costs, reduced resource consumption, faster processing speeds, and greater resilience against runtime errors.

Tapad