diff --git a/docs/en/sql-reference/aggregate-functions/reference/quantileexact.md b/docs/en/sql-reference/aggregate-functions/reference/quantileexact.md
index 06ef7ccfbd3..84cf187cf20 100644
--- a/docs/en/sql-reference/aggregate-functions/reference/quantileexact.md
+++ b/docs/en/sql-reference/aggregate-functions/reference/quantileexact.md
@@ -158,6 +158,101 @@ Result:
 │                         5 │
 └───────────────────────────┘
 ```
+
+## quantileExactExclusive {#quantileexactexclusive}
+
+Exactly computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence.
+
+To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
+
+When using multiple `quantile*` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantilesExactExclusive](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantilesexactexclusive) function.
+
+**Syntax**
+
+``` sql
+quantileExactExclusive(level)(expr)
+```
+
+**Arguments**
+
+-   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
+-   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
+
+**Returned value**
+
+-   Quantile of the specified level.
+
+Type:
+
+-   [Float64](../../../sql-reference/data-types/float.md) for numeric data type input.
+-   [Date](../../../sql-reference/data-types/date.md) if input values have the `Date` type.
+-   [DateTime](../../../sql-reference/data-types/datetime.md) if input values have the `DateTime` type.
+
+**Example**
+
+Query:
+
+``` sql
+CREATE TABLE num AS numbers(1000);
+
+SELECT quantileExactExclusive(0.6)(x) FROM (SELECT number AS x FROM num);
+```
+
+Result:
+
+``` text
+┌─quantileExactExclusive(0.6)(x)─┐
+│                          599.6 │
+└────────────────────────────────┘
+```
+
+## quantileExactInclusive {#quantileexactinclusive}
+
+Exactly computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence.
+
+To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
+
+When using multiple `quantile*` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantilesExactInclusive](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantilesexactexclusive) function.
+
+**Syntax**
+
+``` sql
+quantileExactInclusive(level)(expr)
+```
+
+**Arguments**
+
+-   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
+-   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
+
+**Returned value**
+
+-   Quantile of the specified level.
+
+Type:
+
+-   [Float64](../../../sql-reference/data-types/float.md) for numeric data type input.
+-   [Date](../../../sql-reference/data-types/date.md) if input values have the `Date` type.
+-   [DateTime](../../../sql-reference/data-types/datetime.md) if input values have the `DateTime` type.
+
+**Example**
+
+Query:
+
+``` sql
+CREATE TABLE num AS numbers(1000);
+
+SELECT quantileExactInclusive(0.6)(x) FROM (SELECT number AS x FROM num);
+```
+
+Result:
+
+``` text
+┌─quantileExactInclusive(0.6)(x)─┐
+│                          599.4 │
+└────────────────────────────────┘
+```
+
 **See Also**
 
 -   [median](../../../sql-reference/aggregate-functions/reference/median.md#median)
diff --git a/docs/en/sql-reference/aggregate-functions/reference/quantiles.md b/docs/en/sql-reference/aggregate-functions/reference/quantiles.md
index abce6a9e7f0..72b53f307db 100644
--- a/docs/en/sql-reference/aggregate-functions/reference/quantiles.md
+++ b/docs/en/sql-reference/aggregate-functions/reference/quantiles.md
@@ -7,3 +7,98 @@ toc_priority: 201
 Syntax: `quantiles(level1, level2, …)(x)`
 
 All the quantile functions also have corresponding quantiles functions: `quantiles`, `quantilesDeterministic`, `quantilesTiming`, `quantilesTimingWeighted`, `quantilesExact`, `quantilesExactWeighted`, `quantilesTDigest`. These functions calculate all the quantiles of the listed levels in one pass, and return an array of the resulting values.
+
+## quantilesExactExclusive {#quantilesexactexclusive}
+
+Exactly computes the [quantiles](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence.
+
+To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
+
+Works more efficiently with sets of levels than [quantilesExactExclusive](../../../sql-reference/aggregate-functions/reference/quantileexact.md#quantileexactexclusive).
+
+**Syntax**
+
+``` sql
+quantilesExactExclusive(level1, level2, ...)(expr)
+```
+
+**Arguments**
+
+-   `level` — Leveles of quantiles. Constant floating-point numbers from 0 to 1. We recommend using a `level` values in the range of `[0.01, 0.99]`.
+-   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
+
+**Returned value**
+
+-   [Array](../../../sql-reference/data-types/array.md) of quantiles of the specified levels.
+
+Type of array values:
+
+-   [Float64](../../../sql-reference/data-types/float.md) for numeric data type input.
+-   [Date](../../../sql-reference/data-types/date.md) if input values have the `Date` type.
+-   [DateTime](../../../sql-reference/data-types/datetime.md) if input values have the `DateTime` type.
+
+**Example**
+
+Query:
+
+``` sql
+CREATE TABLE num AS numbers(1000);
+
+SELECT quantilesExactExclusive(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x) FROM (SELECT number AS x FROM num);
+```
+
+Result:
+
+``` text
+┌─quantilesExactExclusive(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x)─┐
+│ [249.25,499.5,749.75,899.9,949.9499999999999,989.99,998.999]        │
+└─────────────────────────────────────────────────────────────────────┘
+```
+
+## quantilesExactInclusive {#quantilesexactinclusive}
+
+Exactly computes the [quantiles](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence.
+
+To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
+
+Works more efficiently with sets of levels than [quantilesExactInclusive](../../../sql-reference/aggregate-functions/reference/quantileexact.md#quantilesexactinclusive).
+
+**Syntax**
+
+``` sql
+quantilesExactInclusive(level1, level2, ...)(expr)
+```
+
+**Arguments**
+
+-   `level` — Leveles of quantiles. Constant floating-point numbers from 0 to 1. We recommend using a `level` values in the range of `[0.01, 0.99]`.
+-   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
+
+**Returned value**
+
+-   [Array](../../../sql-reference/data-types/array.md) of quantiles of the specified levels.
+
+Type of array values:
+
+-   [Float64](../../../sql-reference/data-types/float.md) for numeric data type input.
+-   [Date](../../../sql-reference/data-types/date.md) if input values have the `Date` type.
+-   [DateTime](../../../sql-reference/data-types/datetime.md) if input values have the `DateTime` type.
+
+
+**Example**
+
+Query:
+
+``` sql
+CREATE TABLE num AS numbers(1000);
+
+SELECT quantilesExactInclusive(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x) FROM (SELECT number AS x FROM num);
+```
+
+Result:
+
+``` text
+┌─quantilesExactInclusive(0.25, 0.5, 0.75, 0.9, 0.95, 0.99, 0.999)(x)─┐
+│ [249.75,499.5,749.25,899.1,949.05,989.01,998.001]                   │
+└─────────────────────────────────────────────────────────────────────┘
+```