Benchmarking 1B Vectors with Low Latency and High Throughput

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.