Case Study: InnerSpace achieves scalable real-time indoor analytics with StreamNative

Innerspace halves Pulsar costs with StreamNative

Innerspace, an IoT company specializing in real-time indoor analytics using WiFi signals, faced challenges with scaling its data processing. Their initial Function as a Service solution was costly and complex to manage, struggling with high data volumes. They needed a robust, real-time streaming solution but lacked the internal headcount to manage it themselves, leading them to the vendor StreamNative and its fully managed Apache Pulsar service, StreamNative Dedicated.

StreamNative provided a fully managed Apache Pulsar platform that seamlessly integrated with Innerspace's tech stack. The solution delivered extremely low-latency function processing and a persistent data pipeline. This resulted in significant cost savings, with their subsequent cloud-based deployment costing half of their initial managed service. StreamNative's scalability allowed Innerspace to focus on its core business while efficiently handling fluctuating data workloads.

Innerspace