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

TL;DR AI

Key summary

2 min read
  1. Sprig’s AI-powered product research platform scaled to trillions of events and billions of attributes, pushing its PostgreSQL/Aurora setup past its limits.

  2. The team moved event and attribute traffic to ClickHouse with Redis in front, but low-latency reads still became a bottleneck.

  3. Sprig then adopted ScyllaDB to handle the read load and improved read latency by 4X.

  4. The case highlights how real-time analytics platforms may need specialized databases as data volume and millisecond response requirements grow.

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