---
title: "Difference between DELETE vs TRUNCATE vs DROP."  
description: "Difference between DELETE vs TRUNCATE vs DROP."  
author: "Anubhav Sharma"  
published: 2026-04-27  
updated: 2026-04-27  
canonical: https://www.mindstick.com/interview/34493/difference-between-delete-vs-truncate-vs-drop  
category: "database"  
tags: ["database", "sql server"]  
reading_time: 3 minutes  

---

# Difference between DELETE vs TRUNCATE vs DROP.

Here’s a clear, short comparison of **DELETE vs TRUNCATE vs DROP** in SQL:

### 1. DELETE

- Removes **specific rows** (can use `WHERE`)
- **Row-by-row operation**
- **Can be rolled back** (inside transaction)
- **Triggers are fired**
- Table structure **remains intact**

## Example:

```plaintext
DELETE FROM Employees WHERE Id = 1;
```

### 2. TRUNCATE

- Removes **all rows** from table (no `WHERE`)
- **Faster** (minimal logging)
- **Cannot be rolled back** (in most cases)
- **Does NOT fire triggers**
- Resets **identity (auto-increment)**
- Table structure **remains intact**

## Example:

```plaintext
TRUNCATE TABLE Employees;
```

### 3. DROP

- Deletes **entire table**
- Removes **data + structure**
- **Cannot be rolled back**
- Frees all space
- Table **no longer exists**

## Example:

```plaintext
DROP TABLE Employees;
```

### Quick Comparison Table

| Feature | DELETE | TRUNCATE | DROP |
| --- | --- | --- | --- |
| Remove Rows | Yes (specific) | Yes (all) | Yes (all) |
| WHERE Clause | Yes | No | No |
| Rollback | Yes | No* | No |
| Speed | Slow | Fast | Fast |
| Triggers | Yes | No | No |
| Structure Exists | Yes | Yes | No |

### When to Use

- Use **DELETE** → when you need control (filter rows)
- Use **TRUNCATE** → when clearing full table quickly
- Use **DROP** → when you don’t need the table anymore

## Answers

### Answer by Anubhav Sharma

Here’s a clear, short comparison of **DELETE vs TRUNCATE vs DROP** in SQL:

### 1. DELETE

- Removes **specific rows** (can use `WHERE`)
- **Row-by-row operation**
- **Can be rolled back** (inside transaction)
- **Triggers are fired**
- Table structure **remains intact**

## Example:

```plaintext
DELETE FROM Employees WHERE Id = 1;
```

### 2. TRUNCATE

- Removes **all rows** from table (no `WHERE`)
- **Faster** (minimal logging)
- **Cannot be rolled back** (in most cases)
- **Does NOT fire triggers**
- Resets **identity (auto-increment)**
- Table structure **remains intact**

## Example:

```plaintext
TRUNCATE TABLE Employees;
```

### 3. DROP

- Deletes **entire table**
- Removes **data + structure**
- **Cannot be rolled back**
- Frees all space
- Table **no longer exists**

## Example:

```plaintext
DROP TABLE Employees;
```

### Quick Comparison Table

| Feature | DELETE | TRUNCATE | DROP |
| --- | --- | --- | --- |
| Remove Rows | Yes (specific) | Yes (all) | Yes (all) |
| WHERE Clause | Yes | No | No |
| Rollback | Yes | No* | No |
| Speed | Slow | Fast | Fast |
| Triggers | Yes | No | No |
| Structure Exists | Yes | Yes | No |

### When to Use

- Use **DELETE** → when you need control (filter rows)
- Use **TRUNCATE** → when clearing full table quickly
- Use **DROP** → when you don’t need the table anymore


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Original Source: https://www.mindstick.com/interview/34493/difference-between-delete-vs-truncate-vs-drop

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