In SQL Server, which approach excels for bulk data loading: a stored procedure using INSERT commands, or leveraging DTS/SSIS for data transfers?
In my experience, leveraging DTS/SSIS for bulk data loading in SQL Server typically offers more advantages compared to a stored procedure using INSERT commands. When working with extensive datasets, SSIS provides superior error handling, integrated logging capabilities, and a more sophisticated environment for managing data transformations. Its ability to schedule operations and efficiently handle large-scale data transfers was instrumental in reducing maintenance overhead. Although stored procedures are effective for simpler tasks, SSIS’s built-in features make it a more robust choice for complex bulk loading scenarios.
hey, i think for smaller loads a stored proc can be ok, but when it comes to heavy data transfers, dts/ssis wins. it gives better scalability, logging and error tracking. for big volumes, its definitely the better choice, even if setup is a bit more involved.
hey ppl, i’ve noticed dts/ssis is more dynamic for big loads, but stored procs come in handy sometimes. has anyone tried a mix? what setups did work best for yus in those heavy pipelines?