10 Data Structures That Make Databases Fast and Scalable
Modern databases achieve high speed and efficiency through the use of advanced data structures and indexing techniques. This includes hash indexes for fast insertion and lookup, B-Trees for optimized reads and writes, skip lists for fast operations on dynamic datasets, memtables for efficient writes, and SSTables for optimized storage of key-value pairs. Additional structures like inverted indexes, Bloom filters, bitmap indexes, R-trees, and Write-Ahead Logs further enhance performance and reliability by improving search capabilities, reducing memory usage, speeding up complex queries, and ensuring data consistency even during crashes.


