Telegram's database uses a combination of SQL and NoSQL systems, but detailed information about its internal SQL structure is not publicly disclosed due to security concerns. However, it is known that Telegram stores user messages, metadata, contacts, and media in structured tables. The use of SQL allows for efficient querying of message histories, user data, and chat interactions. The relational aspect ensures that data is linked effectively, with tables for users, messages, contacts, and other entities. NoSQL components handle unstructured data, such as media files, to support scalability. SQL-based systems are likely used for managing core transactional data. #telegramdatabase #telegramuserdatabase
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