Is blob storage a suitable choice for structured data that needs frequent querying?

Blob storage is primarily designed for unstructured data, such as text or binary data, and is optimized for storing large amounts of data that do not require complex querying capabilities. While it is indeed possible to store structured data in blob storage, it lacks the efficient querying capabilities expected from a structured data storage solution.

For scenarios where structured data needs frequent querying, Azure provides services like Azure SQL Database, Azure Cosmos DB, or other analytics services that are specifically built to support structured data and facilitate fast and complex queries. This makes these services more suitable than blob storage when frequent interactions with structured data are required.

Therefore, stating that blob storage is not a suitable choice for structured data that needs frequent querying accurately reflects the limitations of using blob storage in such contexts.