Johnny Bytes boosts data and analytics with Oracle MySQL HeatWave on AWS

To help clients throughout Europe deliver highly targeted marketing campaigns, Johnny Bytes aggregates user interactions from social media and the internet with a client’s own data in the ecommerce, telecom, and banking industries. By aggerating various data sources, the digital agency builds highly segmented customer profiles for clients to conduct targeted, multichannel marketing campaigns to attract new customers.

A pain point for Johnny Bytes was that its analytics app, built on AWS RDS and then Aurora, was not performing well enough to make real-time targeting decisions. The database was just not fast enough for the agency’s rules engine to process the large amount of data needed to segment customers for personalized campaigns.

The agency wanted a faster data platform that would support the technologies it was already using and familiar with.

Johnny Bytes selected Oracle MySQL HeatWave on AWS for a fully managed database service that combines transaction processing with an in-memory query accelerator for a high-performance analytics engine. In addition, it eliminates the need for a separate analytics database and extract, transform, and load (ETL) processes. Greater data scalability with real-time analytics would help the digital agency accelerate application development with less administration.

By integrating MySQL HeatWave on AWS in less than a week, Johnny Bytes saw massive 60X to 90X faster complex queries compared to AWS RDS and Aurora. Being able process data and deliver ads in real time doubled click-through rates and increased customer acquisition.   

In addition, the agency has greater scalability to onboard more data and new clients of any size without increasing IT administration for more business growth opportunities. Every touchpoint of its analytics app, especially the data warehouse in MySQL HeatWave, is running much faster for a better end-to-end customer experience.