Case Study: Increff achieves sub-second BI performance and scalable analytics with ClickHouse Cloud

How Increff rebuilt its BI platform with ClickHouse

Increff, a retail SaaS company serving global brands like Puma, Adidas, and Calvin Klein, needed to scale its BI platform as data volumes exploded. Its previous stack could handle smaller workloads, but when a major retailer brought in datasets five times larger than before, query performance dropped and concurrency limits created a bottleneck. To keep supporting fast, reliable analytics across billions of retail data points, Increff turned to ClickHouse.

Using ClickHouse Cloud, Increff rebuilt its BI architecture with managed warehousing, Redis caching, DuckDB for transformations, and improved data modeling and query optimization. The new system now handles around a billion records while maintaining sub-second query latencies, and Increff reports a 70% to 80% reduction in data preparation time. With ClickHouse, the company has created a scalable BI foundation for future growth and faster retail decision-making.

Increff

Navaneet Krishna

Lead Data Analyst