ScyllaDB Brings Massive-Scale Vector Search to Real-Time AI

ScyllaDB’s integrated Vector Search can handle datasets of 1 billion vectors with P99 latency as low as 1.7 ms and throughput up to 252,000 QPSSUNNYVALE, Calif., Jan. 20, 2026 (GLOBE NEWSWIRE) -- ...

ScyllaDB Releases Integrated Vector Search: 1B Vectors with 2ms P99s and 250K QPS Throughput

ScyllaDB today announced the general availability of its new Vector Search capability, which is integrated into ScyllaDB X Cloud. This high-performance vector search supports the industry’s largest ...
VentureBeat

From shiny object to sober reality: The vector database story, two years later

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...
Geeky Gadgets

Give Your ChatGPT AI Assistant a Real Memory with Vector Stores

What if you could give your AI agent the ability to answer virtually any question, no matter how complex or nuanced? Imagine an AI assistant that not only understands your queries but pulls from a ...