The Azure SQL database is optimized for structured data found in relational databases, though it also has features to handle semi-structured data like JSON. It is not ideal for unstructured data, which lacks a predefined schema and is handled better by other types of databases.
The Azure SQL database is designed to primarily support structured data. This means it is well-suited for data that adheres to a predefined schema like tables with rows and columns, which you typically find in relational databases. Azure SQL provides robust capabilities for indexing, querying, and managing structured data using SQL (Structured Query Language).
While primarily focused on structured data, Azure SQL does also offer support for semi-structured data through features like JSON functions that can handle JSON data within SQL queries. However, it is not typically used for unstructured data such as audio, video, or text documents that do not follow a predefined model or schema. Such data types are better managed by other database systems designed for unstructured data.
In conclusion, the Azure SQL database is an excellent option for managing structured and to some extent semi-structured data within the Microsoft cloud ecosystem.