Unlock the Power of Your Data for Intelligent AI Applications
summary
Single data platform claims to replace six separate databases by combining transactions, analytics and vectors with a patented universal storage architecture and vector support since 2017. Demonstrated scans across 46 billion rows in 343 ms and a complex join in 359 ms, live JSON queries without special engines, 28k vector embeddings per second across 500 documents and a 50 PB cluster delivering 1–15 ms responses while customers like Goldman Sachs, Kroger and DBS use it for realtime RAG and semantic search.
AI-written summary · about
chapters (8)
- 0:00Introduction and context
- 3:26SingleStore’s universal storage
- 5:10Live demo of query speed
- 8:46Building AI applications with SingleStore
- 10:48RAG on a single data platform
- 12:10Augmenting existing databases
- 13:55Why customers choose SingleStore
- 14:17Call to action and wrap-up
related talks
36mUnleashing the Power of Vector Databases for AI-Driven Applications
27mUnified AI & Relational Power: Scalable Distributed Vector Search with
13mUnlocking Your AI Potential With Real-Time Data Unification
24mFuture of Data and AI
47mBuilding intelligent analytics at scale
43mNatively Engineered for AI: The Evolution
36mFuture Data Architecture Enabled by New AI Technology
18mData Superpowers with Oracle Database 23ai