Case Study: Sirqul accelerates IoT analytics and simulations with TidalScale

Sirqul processes vehicle routing data in 6 hours with TidalScale

Sirqul, a developer of a full-stack IoT platform, faced challenges processing massive, complex data sets for applications like vehicle route simulation and retail analytics. Their workloads were too large for standard cloud platforms, often running out of memory and taking days to complete. This hindered their ability to deliver real-time insights to their customers. To solve this, Sirqul implemented TidalScale’s Software-Defined Server technology.

This solution from TidalScale allowed Sirqul to dynamically combine servers into a single powerful system to handle these unpredictable workloads. As a result, they were able to process a vast vehicle routing data set in just six hours instead of days and successfully deploy a country-wide IoT system for 4 million vehicles. TidalScale enabled Sirqul to deliver large-scale, real-time analytics, providing a significant competitive advantage.

Sirqul