Every modern software application relies on a database to persist and manage its data. The choice of database technology is largely influenced by the application’s data model and its read and write throughput.

For large datasets, query efficiency is critical. An inefficient query that works on a small dataset can quickly turn into a performance bottleneck when scaled to hundreds of thousands or millions of data points. While query optimization helps, it alone cannot guarantee high throughput. Factors such as data modeling, normalization, partitioning strategies, indexing, and even hardware resources all play a role in determining how quickly a system can serve reads and process writes.