How AlloyDB ScaNN Index Revolutionizes Database Scalability
ScaNN for AlloyDB index, which will enable businesses to create scalable, accurate, and high-performing gen AI and search applications
A proper balance between recall and QPS must be achieved while setting the index parameters. See Tune a ScaNN index for additional details on adjusting the ScaNN index
ScaNN index is a quantization index based on trees. Compared to HNSW, it offers a shorter index creation time and a smaller memory footprint
ScaNN index is a quantization index based on trees. Compared to HNSW, it offers a shorter index creation time and a smaller memory footprint
AlloyDB’s ScaNN index has significant advantages for real-world workloads, including quick index creation times that boost developer productivity and cut down on costly bottlenecks for heavy lifting
With the help of the ScaNN index, AlloyDB combines the business features, multi-workload capacity, and query flexibility of a relational database
The ScaNN index now supercharges vector database workloads in AlloyDB for PostgreSQL by bringing 12 years of Google research
For demanding enterprise workloads, including 4x faster transactional workloads and up to 100x faster analytical queries than regular PostgreSQL,