Beyond One-to-One: Exploring Scalable Database Architectures for Your Application

Consider a basic to-do list app. With traditional sharding, you might have a single database with a "users" table and a "tasks" table. Each user has a unique ID, and their tasks are linked to their ID in the "tasks" table.

In "one database per user" sharding, each user would have their own separate SQLite database file containing their own "tasks" table and potentially other user-specific data.

Challenges and Drawbacks:

Related Issues and Alternatives:

• Horizontal Sharding: Instead of individual databases, consider sharding your data across multiple database servers based on a specific key (e.g., user ID). This allows for easier scalability and schema changes while maintaining good performance.
• NoSQL Databases: If your data model doesn't rely heavily on relationships and is user-specific, consider using NoSQL databases like MongoDB. They offer better scalability and flexibility for individual user data.