Executing thousands of individual INSERT statements is one of the most common performance bottlenecks in database operations. Each single INSERT requires a complete round-trip to the database server: connection overhead, query parsing, execution planning, and transaction commits. This process can take 10-50ms per statement, meaning 10,000 individual inserts could take 100-500 seconds!
Batch inserts solve this by combining multiple value sets into a single INSERT statement. Instead of 10,000 round-trips, you make just 100 (with batch size of 100). This reduces network overhead, allows the database to optimize execution plans, and can improve performance by 10-50x. Modern databases like MySQL, PostgreSQL, and SQL Server are specifically optimized for batch operations.
📊 Read the complete guide: Why Batch Inserts Are 10-50x Faster →
Tip: if your tables include optional columns, ensure every INSERT keeps the same column order before converting.