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The choice between SQL and NoSQL databases depends on your application's specific needs.

Sharding splits databases into smaller parts to improve performance and scalability.

Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.

Database replication enhances data availability and read performance but has challenges like replication lag.

Caching helps applications respond faster by serving data from memory instead of hitting the database.

Scaling databases involves deciding whether to enhance read or write capabilities based on traffic patterns.

API pagination helps manage large datasets by breaking them into smaller parts.

Cache stampede occurs when many requests hit the database due to a cache miss.