---
title: "Explain the differences between aggregate functions and scalar functions in SQL."  
description: "Explain the differences between aggregate functions and scalar functions in SQL."  
author: "Sandra Emily"  
published: 2023-09-04  
updated: 2023-09-26  
canonical: https://www.mindstick.com/forum/159814/explain-the-differences-between-aggregate-functions-and-scalar-functions-in-sql  
category: "mssql server"  
tags: ["sql server", "sql"]  
reading_time: 3 minutes  

---

# Explain the differences between aggregate functions and scalar functions in SQL.

[Explain the differences](https://www.mindstick.com/forum/158322/explain-the-differences-between-prototypal-and-classical-inheritance-in-javascript) between [aggregate functions](https://www.mindstick.com/forum/158949/what-are-the-conditional-aggregate-functions-in-sql-such-as-sum-case-and-how-are-they-used) and scalar [functions in SQL](https://www.mindstick.com/forum/33707/what-is-the-difference-between-rank-and-dense_rank-functions-in-sql-server).

## Replies

### Reply by Aryan Kumar

[Aggregate](https://www.mindstick.com/blog/52/aggregate-functions-in-database) functions and [scalar functions](https://www.mindstick.com/interview/23537/what-are-aggregate-and-scalar-functions) are two types of functions in SQL, and they serve different purposes and have distinct characteristics:

**Aggregate Functions**:

**Purpose**:

- Aggregate functions perform calculations on sets of values and return a single value as a result.
- They are used to summarize data or provide statistical information about a group of rows.

**Operate on Multiple Rows**:

- Aggregate functions operate on multiple rows of data at once.
- They are typically used with the GROUP BY clause to perform calculations on groups of rows, treating the group as a single entity.

**Examples**:

- COUNT(), SUM(), AVG(), MAX(), MIN() are examples of aggregate functions.
- For instance, you can use SUM() to calculate the total sales for a product category across multiple orders.

**Usage in SELECT Clauses**:

- Aggregate functions are often used in the SELECT clause to generate summary values.

**Result Type**:

- The result of an aggregate function is a single value, not a column.

**Scalar Functions**:

**Purpose**:

- Scalar functions operate on a single value and return a single value as a result.
- They are used for various purposes, such as data manipulation, string manipulation, date calculations, and more.

**Operate on Individual Rows**:

- Scalar functions operate on individual rows or columns of data.
- They do not require grouping like aggregate functions.

**Examples**:

- Functions like CONCAT(), UPPER(), DATEPART(), and TRIM() are examples of scalar functions.
- For example, you can use UPPER() to convert a string to uppercase.

**Usage Anywhere in SQL**:

- Scalar functions can be used in various parts of SQL queries, including SELECT, WHERE, JOIN conditions, and more.

**Result Type**:

- The result of a scalar function is also a single value, but it can be used in a way that appears as if you're adding a new column to your result set.

**Summary**:

In summary, the primary difference between aggregate functions and scalar functions in SQL is their purpose and how they operate on data. Aggregate functions work on multiple rows, summarize data, and return a single value, typically used with GROUP BY. Scalar functions, on the other hand, work on individual values or columns, are more versatile in their usage, and return a single value for each row or column they operate on. Depending on your SQL query requirements, you'll choose the appropriate type of function to achieve your desired result.


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Original Source: https://www.mindstick.com/forum/159814/explain-the-differences-between-aggregate-functions-and-scalar-functions-in-sql

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