Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/benchmarking-1b-vectors-with-low-latency-and-high-throughput.
ScyllaDB Vector Search reaches 1B vectors with 2ms p99 latency and 250K QPS, unifying structured data and embeddings at scale.
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ScyllaDB Vector Search is now GA and delivers real-time similarity search at massive scale. Benchmarks on the yandex-deep_1b dataset show p99 latency as low as 1.7ms and throughput up to 252K QPS across 1 billion vectors. By unifying structured data and embeddings in one system, ScyllaDB eliminates dual-write pipelines while supporting production-grade AI, RAG, and recommendation workloads.