Difference Between SQL JOIN and Subquery
The main difference between SQL JOIN and subquery are mentioned in the table below:
| Subquery | JOIN |
|---|---|
| A subquery is a query nested inside another query and is used to return data that will be used in the main query as a condition to further restrict the data to be retrieved. | A JOIN is a means for combining fields from two tables by using values common to each. |
| Subqueries can be slower than JOINs, especially if the subquery returns a large number of rows. | JOINs are generally faster than subqueries, especially for large datasets. |
| Subqueries can be more complex and harder to read, especially when there are multiple levels of nesting. | JOINs can be easier to read and understand, especially for simple queries. |
| Subqueries can be used in SELECT, WHERE, and FROM clauses, offering more flexibility. | JOINs are used to combine rows from two or more tables based on a related column. |
| Subqueries are often used when the result of the query is not known or dynamic. | JOINs are used when the relationships between the tables are known and fixed. |
SQL Join vs Subquery
The difference between SQL JOIN and subquery is that JOIN combines records of two or more tables whereas Subquery is a query nested in another query.
SQL JOIN and Subquery are used to combine data from different tables simplifying complex queries into a single statement.
Here we will discuss SQL JOIN vs Subquery in detail, and understand the difference between JOIN and Subquery with examples.
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