Database Libraries (used to store your bot’s data)

When you use the above Telegram API client libraries, you then choose a separate database solution and its corresponding library to store your bot’s specific data. The choice depends on your needs:

SQL Databases (Relational):

Best for structured data, complex queries, and ensuring data integrity.
SQLite: (e.g., Python’s sqlite3 telegram number database module) – Excellent for simple, file-based local storage. No separate server needed.
PostgreSQL: (e.g., Python’s psycopg2, Node.js’s pg) – Robust, scalable, and feature-rich. Good for larger bots.

MySQL: (e.g., Python’s mysql-connector-python, Node.js’s mysql2) – Another popular choice for web applications and bots.
NoSQL Databases (Non-Relational): Best for flexible schema, large volumes of unstructured/semi-structured data, and high scalability.

Pyrogram to handle messages and user interactions

MongoDB: (e.g., Python’s pymongo, Node.js’s mongodb driver) – Popular for document-oriented data, often used when data structure might evolve.
Redis: (e.g., Python’s redis-py, legal considerations when using nepal phone number lists Node.js’s ioredis) – Primarily an in-memory data store, excellent for caching, session czechia businesses directory management, or transient state data due to its speed. Can be used for simple key-value storage for bot states.
Example Scenario:

If you’re building a Telegram bot in Python using Pyrogram, and you want to store user preferences persistently, you might use.