Case Study: Empark achieves low-latency, self-service parking analytics with Etleap

Empark processes 1 million rows daily with Etleap

Empark, a leading mobility provider in Iberia, faced a fragmented data infrastructure that could not keep up with its growing eco-conscious services. The company struggled with high latency and lacked a cohesive strategy to unify data from parking systems and EV charging networks for real-time insights. To overcome this, Empark partnered with Etleap to implement its data pipelines and change data capture (CDC) solution.

Using Etleap, Empark streamlined its ETL processes, unifying four distinct source databases into a low-latency warehouse. This allowed the data team to build over 80 SQL-based models to analyze customer behavior and fuel new mobile app services. The results were significant: Etleap enabled Empark to process over one million rows of data daily and increased ETL staffing efficiency by 400%, allowing one engineer to do the work of five.

Empark