MS SQL Server NTILE() Function with Practical Examples


In the realm of SQL Server, understanding data distribution and segmenting it effectively can reveal valuable insights for data analysis. The NTILE function offers a powerful tool to divide data into specified quantiles, enabling meaningful segmentation. In this article, I’ll embark on a journey through the intricacies of the NTILE function, its applications, and real-world examples to grasp its utility.

Step 1: Unwrapping the NTILE Function

The NTILE function enables the division of result sets into specified quantiles or buckets, distributing data points evenly or nearly evenly among the buckets.

Step 2: Syntax and Usage

SQL Code
NTILE(number_of_buckets) OVER (ORDER BY column_name) AS ntile_column
  • number_of_buckets: The desired number of quantiles or buckets.
  • column_name: The column used to determine the order of data.
  • ntile_column: The column that will hold the assigned bucket numbers.

Step 3: Real-world Examples

  1. Equal Distribution:

Imagine an inventory dataset with product prices. To evenly distribute them into three price ranges, we’ll use the NTILE function.

SQL Code
SELECT product_name, price, NTILE(3) OVER (ORDER BY price) AS price_range
FROM product_inventory;
  1. Customized Percentiles:

Utilize the NTILE function to create custom percentiles. For instance, segmenting a dataset of student exam scores into quartiles.

SQL Code
SELECT student_name, exam_score, NTILE(4) OVER (ORDER BY exam_score) AS score_quartile
FROM exam_scores;

Step 4: Practical Insights

  • Data Analysis Segmentation: The NTILE function aids in segmenting data for analysis, facilitating the identification of patterns and anomalies.
  • Uniform Distribution: By using NTILE, you can distribute data uniformly across buckets, aiding in comparison and analysis.

Step 5: Query Optimization

  • Performance Considerations: While the NTILE function is powerful, avoid using it excessively on large datasets, as it might impact query performance.


The NTILE function in SQL Server empowers data segmentation and analysis by dividing datasets into quantiles. By harnessing this functionality, you gain the ability to explore data distributions and uncover insights that drive informed decisions and analysis.

Eager to unravel the layers of data segmentation? Explore more articles on our blog to deepen your SQL Server skills. Share this guide with fellow data enthusiasts to empower them with the knowledge of data segmentation using the NTILE function! If you want to get updated, like the facebook page and stay connected.


While NTILE offers powerful segmentation, ensure you choose the right number of buckets to avoid creating overly granular segments that might hinder meaningful analysis.

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