Database on English AI Terms Dictionary

Schema-agnostic databases

Sat, 18 Jul 2026 10:14:51 +0000

Definition

These databases enable dynamic data modeling by not enforcing rigid table structures or column definitions upfront. This flexibility allows developers to store unstructured or semi-structured data, such as JSON documents, making them ideal for rapidly evolving applications. While they offer scalability and ease of development, they may require application-level logic to ensure data consistency and integrity compared to traditional relational databases.

Summary

Schema-agnostic databases are storage systems that allow flexible data structures without requiring predefined schemas, often used in NoSQL environments.

Vector Database

Sat, 18 Jul 2026 09:37:52 +0000

Definition

Vector databases optimize the storage and retrieval of unstructured data by converting it into numerical embeddings. They use algorithms like Approximate Nearest Neighbor (ANN) to efficiently find similar items based on distance metrics. This technology is critical for AI applications requiring semantic search, recommendation engines, and similarity matching, enabling fast retrieval from massive datasets where traditional relational databases fail.

Summary

A specialized database designed to store, index, and query high-dimensional vectors representing data features.

View

Sat, 18 Jul 2026 09:37:52 +0000

Definition

In database management, a view acts as a saved SQL query that behaves like a table but contains no data itself. It provides a simplified or customized perspective of underlying data, enhancing security by restricting access to specific columns. Views simplify complex joins and aggregations for users, allowing them to interact with structured data representations without needing to understand the base schema’s complexity.

Summary

A virtual table in a database resulting from a stored query, presenting data from one or more tables without storing it physically.