Database

: Pair each key with a complex data structure known as a document (typically JSON or BSON).

: Focus intensely on the relationships between data points, storing data as "nodes" and connections as "edges." database

: Databases like Milvus and Zilliz use these features to enable "semantic search." Instead of searching for exact keywords, the database compares the "deep features" of the query against its entries. : Pair each key with a complex data

┌────────────────────────┐ │ Database Ecosystem │ └───────────┬────────────┘ │ ┌────────────────────────┴────────────────────────┐ ▼ ▼ ┌────────────────────────┐ ┌────────────────────────┐ │ Relational (SQL) │ │ Non-Relational (NoSQL) │ ├────────────────────────┤ ├────────────────────────┤ │ • Tables & Schemas │ │ • Flexible Schemas │ │ • Strict ACID Rules │ │ • High Scalability │ │ • PostgreSQL, MySQL │ │ • MongoDB, Redis │ └────────────────────────┘ └────────────────────────┘ 1. Relational Databases (RDBMS) Relational Databases (RDBMS) : Financial transactions

: Financial transactions, inventory management, and applications requiring high accuracy. Non-Relational Databases (NoSQL)