On the other hand, AWS is a suggestion that businesses are using a new type of S3 bucket for storing and interviewing vector data via the API reserved set, Amazon S3 Vector, that it says that it eliminates the need to provide infrastructure for a vector database.
Raya Mukherjee, head of Event Group analyst, said the Amazon S3 or any other cloud -based storage is cheap operators and, compared to vector databases, due to differences in their structure and hardware requirements, helping businesses simplify architecture, reduce overhead costs and reduce.
While storage of objects is designed to handle huge volumes of non -structural data using architecture, which minimizes overhead and efficient searches of individuals, vector databases are designed for high -performance similarities across complex, highly dimensional data and specialized indexing and hardware acceleration methods that can increase infrastructure and operational expansion.