Case Study: Kamino Retail achieves sub-15 ms event streaming and lower storage costs with Aiven

Processing Thousands of Data Events with Sub-15ms Latency: How Kamino Retail is Disrupting Advertising with Aiven

Kamino Retail, a fast-growing AdTech startup, faced the challenge of processing thousands of data events per second with extremely low latency to power its hyper-targeted retail media campaigns. The company needed a highly scalable and cost-effective real-time data infrastructure to handle significant traffic surges and anticipated massive data growth without vendor lock-in, which is critical for its revenue model.

By implementing Aiven's managed services, specifically Aiven for Apache Kafka and Aiven for ClickHouse on Google Cloud, Kamino Retail established a powerful data pipeline. The solution delivered sub-15ms latency for sending events to Kafka, enabled seamless handling of 3x peak traffic, and substantially cut storage costs using ClickHouse's tiered storage. Aiven provided Kamino Retail with the scalable, high-performance foundation needed to support its global expansion and drive significant revenue growth.

Kamino Retail

Emmanuel Valette

Co-Founders and Current CTO