What is volume testing and when would you use it?

Volume testing is often confused with load testing, but the variable is data volume rather than concurrent users. A system that handles 1,000 simultaneous users fine might fail or degrade when the database reaches 100 million rows, a CSV import file is 500 MB, or a report query spans 3 years of transactions.

Typical volume scenarios:

• Import a product catalogue with 1 million SKUs and verify completion time and data integrity.
• Run a report against a database seeded to projected 5-year size.
• Process a log file at the upper end of the documented file size limit.
• Verify that search index performance holds as the corpus grows.

Volume testing often requires a dedicated test environment with a large realistic dataset — it cannot be run against a small development database. The planning effort to generate representative data at scale is frequently underestimated.