ScyllaDB cut Sprig’s read latency 4X after Redis and ClickHouse hit a wall

TL;DR AI
2 min readKey summary
Sprig’s AI-powered product research platform scaled to trillions of events and billions of attributes, pushing its PostgreSQL/Aurora setup past its limits.
The team moved event and attribute traffic to ClickHouse with Redis in front, but low-latency reads still became a bottleneck.
Sprig then adopted ScyllaDB to handle the read load and improved read latency by 4X.
The case highlights how real-time analytics platforms may need specialized databases as data volume and millisecond response requirements grow.
