1. Performance:
A temporary table works faster if we have a large dataset.
We can create indexes that can be optimized by the query optimizer.
The table variable works faster if the dataset is small.
Faster because the table variable is stored in memory.
2. Storage:
The TempDB database houses temporary tables.
Table variables are compact and memory-based.
3. Lifetime:
Until we remove the table or the session expires, a temporary table is accessible.
However, after the batch or operation is finished, it is immediately erased from the table variable.
4. Indexing:
We can create indexes on temporary tables.
But we can't create indexes on table variables.
