How does data volume impact query performance?

< 1 min read

Data volume directly impacts query performance because larger datasets require more processing time.
In one project, as transaction data grew from 2 million to 15 million records, report load time increased significantly.
Full table scans on large tables slowed down queries without proper indexing.
Aggregations on high-volume data increased CPU and memory usage.
Joins between large fact tables caused performance degradation.
Data refresh time also increased as volume grew.
We optimized by archiving old data and using aggregated tables.
Proper indexing and partitioning helped maintain stable performance.

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