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In the diverse landscape of databases, there’s a wide array of types designed to meet different requirements. This includes relational databases like MySQL, Postgres, and SQL Server, as well as NoSQL databases and vector databases.
Each type serves specific purposes and exhibits unique features. To understand the essence and functionalities of vector databases, it’s essential to explore how they stand apart from both relational and NoSQL databases, which have their own distinct characteristics and uses.
Vector Database vs. Relational Database
Contrary to relational databases, where data is stored within structured tables of rows and columns, vector databases handle data differently. They are not rooted in structured tables but are geared more towards the storage and retrieval of numeric vector data.
While relational databases can store multiple data types and utilize tree-based indexing, vector databases deploy special…
