Solution

When implementing a database, the most appropriate data structure depends on what part of the database you’re focusing on. Among common options, the standard and most suitable choice is:

B-Tree (or B+ Tree)

• Used by almost all modern databases (MySQL, PostgreSQL, Oracle, etc.) to implement indexes.

• Provides efficient search, insert, delete, and range queries in O(log n) time.

• Optimized for disk storage and block reads, making it ideal for large datasets.

Other data structures used in databases:

1. Hash Tables

   • Used for hash indexes and quick equality lookups (e.g., WHERE id = 100).

   • Very fast for exact matches but not good for range queries.

2. Heaps

   • Used to store unsorted table data.

   • Simple structure but inefficient for searches without indexes.

3. Linked Lists

   • Used internally for things like transaction logs and some in-memory structures.

4. Trie / Radix Trees

   • Sometimes used for full-text search or prefix matching.