When you’re running a mission-critical data app on Snowflake, the tradeoff is usually simple: pay more, or risk performance. Qwilt, a modern CDN powering streaming, gaming, and massive downloads, wasn’t willing to accept that.
Their team was already disciplined. They built internal routing rules, tenant-based scaling, and custom cost governance logic. It worked – for a while. But as scale exploded (6M requests per second, tight real-time SLAs), so did Snowflake costs. Manual optimization became a full-time job, and still, bills climbed.
The Breaking Point
- Engineering hours wasted on warehouse sizing.
- Internal rules that couldn’t keep up with tenant growth.
- Performance vs. cost became a daily tradeoff.
The Yuki Shift
Integration took under an hour. No re-arch. No query changes. Just a connection string swap. From day one, Yuki analyzed query metadata in real time and routed workloads to the right warehouse size automatically.
The Results
- 63% drop in Snowflake compute costs within days
- 67% of queries ran just as fast on X-Small warehouses
- No manual tuning, no performance trade-offs
Or as Ron Kitay, Software & Data Engineer at Qwilt, put it:
“When we plugged in Yuki, I honestly didn’t expect much. Within 24 hours, we saw a 63% drop in compute costs. It just worked.”
Get the Full Story
Qwilt’s experience proves that even disciplined Snowflake teams can unlock massive savings with Yuki. Discover how your team can achieve the same. Download the full Qwilt Case Study
