# Excel XLOOKUP instead of VLOOKUP

In Office 365, Excel offers the new XLOOKUP function. We will compare it to VLOOKUP and INDEX, especially in terms of speed.

#### Table of Contents

CAUTION

Please note that this blog post was originally written in German. This translation is for your convenience. Despite my best efforts to ensure accuracy, there may be translation errors. I apologize for any discrepancies or misunderstandings resulting from the translation. I appreciate any corrections in the comments or via email.

## Introduction

In this article, we delve into Excelâ€™s XLOOKUP function, a new feature designed to replace the widely-used VLOOKUP formula. Iâ€™ll compare XLOOKUP with VLOOKUP and INDEX, focusing on their speed. Iâ€™ll also provide examples to highlight the differences between these functions.

Microsoft announced the XLOOKUP formula for Excel on August 28, 2019. This formula, intended to replace the VLOOKUP formula (one of Excelâ€™s most popular formulas), is included in Microsoft Office 365 (Affiliate Link) and Excel 2016 (and newer) for Windows, as well as Microsoft Excel 2021 (and newer) for macOS.

When XLOOKUP became available in my Excel version, I started using it more frequently than VLOOKUP. For those curious about what VLOOKUP is or the differences between the two, examples will follow.

Itâ€™s important to note that the recipient of the Excel file should also have a current version of Excel installed, otherwise further processing would not be possible.

Iâ€™ve often read in various Excel forums or on Reddit that XLOOKUP is faster, hence one should stop using VLOOKUP. I accepted these statements without verification and shared them with my colleagues.

In this article, I aim to demonstrate how the XLOOKUP function differs from VLOOKUP and particularly investigate whether XLOOKUP is indeed faster.

## Use Case Example

To test, I created a table with random data via Mockaroo. The table has three columns with 1,000 entries each. The first column contains a unique ID (from 1 to 1000), the second column a name, and the third one an annual salary (ranging from â‚¬95.52 to â‚¬280,000.00).

id | name | salery |
---|---|---|

1 | Ellene Otley | 45,488.00 â‚¬ |

2 | Noell Jiggen | 28,307.64 â‚¬ |

3 | Dolorita Proud | 49,755.88 â‚¬ |

â€¦ | â€¦ | â€¦ |

Now, I want to use a formula to search the table to find out how much money the fictional person Melody Waterhouse earns.

### VLOOKUP

Since the first version of Excel, VLOOKUP can be used.

```
=VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
```

In my case, I use the formula as follows.

```
=VLOOKUP("Melody Waterhouse",{range with names and salary},2,0)
```

The formula searches in the first column of the lookup range for the desired name and then returns the second column. By adding a 0 at the end, I set an exact match.

Issues can arise if you forget the 0 as the last argument. It can also be inconvenient if you have many columns. The search can only be done from left to right. If the salary were to the left of the name, the formula would not work. If the salary were below the name, you would have to use the HLOOKUP function instead to search from top to bottom.

In my opinion, having the inexact search set as default is a design flaw. In this case, I donâ€™t even understand why the person at id 1 is not displayed, after all, L lies alphabetically between E and N.

### INDEX / MATCH

In the past, when I wanted more customization options, I often resorted to the combination of the INDEX and MATCH formulas.

```
=INDEX(array,row_num,column_num)
=MATCH(lookup_value,lookup_array,match_type)
=INDEX(array,MATCH(lookup_value,lookup_array,match_type),column_num)
```

With the INDEX formula, I enter the array from which I want to retrieve information (in my case the column with the salaries). I donâ€™t know the absolute row, so it is searched with the MATCH formula.

Advantages:

- Search from right to left and from bottom to top possible

Disadvantages:

- Formula readability is more difficult

As with VLOOKUP, an error is returned if the name cannot be found.

### XLOOKUP

The new XLOOKUP function solves some of the limitations of the other formulas.

```
=XLOOKUP(lookup_value,lookup_array,return_array,if_not_found,match_mode,search_mode)
```

The first three arguments must be specified, the rest are optional.

Here, the use is more or less self-explanatory.

Advantages:

- Easiest use
- Built-in â€śnot foundâ€ť argument
- Exact match set by default
- Various comparison modes
- Search direction adjustable, as search and return arrays can be specified separately

Disadvantages:

- Compatibility

### Behavior with Unfound Entries

As mentioned earlier, XLOOKUP has an integrated parameter to return a different value when an entry is not found.

When using INDEX or VLOOKUP, you can only fall back on the IFERROR formula.

```
=IFERROR(value,value_if_error)
```

## Speed Measurement

Now I am interested in the speed of the lookup possibilities.

To measure speed, I followed Microsoftâ€™s documentation.

So I created a new module with the following code.

```
Private Declare PtrSafe Function getFrequency Lib "kernel32" Alias _
"QueryPerformanceFrequency" (cyFrequency As Currency) As Long
Private Declare PtrSafe Function getTickCount Lib "kernel32" Alias _
"QueryPerformanceCounter" (cyTickCount As Currency) As Long
Function Microtimer() As Double
'
' Returns seconds.
Dim cyTicks1 As Currency
Static cyFrequency As Currency
'
Microtimer = 0
' Get frequency.
If cyFrequency = 0 Then getFrequency cyFrequency
' Get ticks.
getTickCount cyTicks1
' Seconds
If cyFrequency Then Microtimer = cyTicks1 / cyFrequency
End Function
Sub RangeTimer()
DoCalcTimer 1
End Sub
Sub SheetTimer()
DoCalcTimer 2
End Sub
Sub RecalcTimer()
DoCalcTimer 3
End Sub
Sub FullcalcTimer()
DoCalcTimer 4
End Sub
Sub DoCalcTimer(jMethod As Long)
Dim dTime As Double
Dim dOvhd As Double
Dim oRng As Range
Dim oCell As Range
Dim oArrRange As Range
Dim sCalcType As String
Dim lCalcSave As Long
Dim bIterSave As Boolean
'
On Error GoTo Errhandl
' Initialize
dTime = Microtimer
' Save calculation settings.
lCalcSave = Application.Calculation
bIterSave = Application.Iteration
If Application.Calculation <> xlCalculationManual Then
Application.Calculation = xlCalculationManual
End If
Select Case jMethod
Case 1
' Switch off iteration.
If Application.Iteration <> False Then
Application.Iteration = False
End If
' Max is used range.
If Selection.Count > 1000 Then
Set oRng = Intersect(Selection, Selection.Parent.UsedRange)
Else
Set oRng = Selection
End If
' Include array cells outside selection.
For Each oCell In oRng
If oCell.HasArray Then
If oArrRange Is Nothing Then
Set oArrRange = oCell.CurrentArray
End If
If Intersect(oCell, oArrRange) Is Nothing Then
Set oArrRange = oCell.CurrentArray
Set oRng = Union(oRng, oArrRange)
End If
End If
Next oCell
sCalcType = "Calculate " & CStr(oRng.Count) & _
" Cell(s) in Selected Range: "
Case 2
sCalcType = "Recalculate Sheet " & ActiveSheet.Name & ": "
Case 3
sCalcType = "Recalculate open workbooks: "
Case 4
sCalcType = "Full Calculate open workbooks: "
End Select
' Get start time.
dTime = Microtimer
Select Case jMethod
Case 1
If Val(Application.Version) >= 12 Then
oRng.CalculateRowMajorOrder
Else
oRng.Calculate
End If
Case 2
ActiveSheet.Calculate
Case 3
Application.Calculate
Case 4
Application.CalculateFull
End Select
' Calculate duration.
dTime = Microtimer - dTime
On Error GoTo 0
dTime = Round(dTime, 5)
MsgBox sCalcType & " " & CStr(dTime) & " Seconds", _
vbOKOnly + vbInformation, "CalcTimer"
Finish:
' Restore calculation settings.
If Application.Calculation <> lCalcSave Then
Application.Calculation = lCalcSave
End If
If Application.Iteration <> bIterSave Then
Application.Iteration = bIterSave
End If
Exit Sub
Errhandl:
On Error GoTo 0
MsgBox "Unable to Calculate " & sCalcType, _
vbOKOnly + vbCritical, "CalcTimer"
GoTo Finish
End Sub
```

Now I have the ability to recalculate a workbook or completely recalculate it and display how long it took.

In particular, I used the function with `Application.CalculateFull`

, but also tried `Application.Calcuate`

.

## Test 1 - Calculate 100,000 Cells

### Test 1 - Setup

For the first test, I created a new workbook. One worksheet contains data in two columns. One of them contains the ID, and the other a random number between 0 and 1:

ID | Wert |
---|---|

1 | 0.97714411 |

2 | 0.57334089 |

3 | 0.86522436 |

â€¦ | â€¦ |

100000 | 0.04843126 |

On another worksheet, I copied the 100,000 rows with the ID and tried to retrieve the corresponding value via different lookup methods.

The test device is a laptop with an AMD Ryzen 4600H CPU.

### Results of Test 1

First, I used RangeTimer and checked how long it took to calculate each column. This did not work so well. In contrast to VLOOKUP, whose area took about 0.06 seconds for the update, the INDEX/MATCH combination took about 64 seconds and XLOOKUP over two minutes. So I started creating separate files and repeatedly performed a complete recalculation and compared the average duration:

I wondered if I was doing something wrong because XLOOKUP was significantly slower than the other two lookup methods. I tried it again with a Surface (Intel Core i5 Gen 8 CPU). I came to a very similar result:

This hypothesis that XLOOKUP has better performance could not be verified. So I tried to vary the test.

Here I tried using RecalcTimer (i.e., not a complete recalculation):

AMD:

INTEL:

By the way, this does not constitute a comparison between Intel and AMD CPUs per se; the two devices are completely different.

Unless otherwise stated, I will use FullcalcTimer in what follows because I want to know how long it takes in a worst-case scenario.

There was no measurable difference in performance here either. So I changed the test again. I changed the 100 on the first worksheet to 1,000,000 in my worksheet. As a result, the value belonging to 100 could no longer be found in the second sheet:

AMD:

Intel:

The strange thing is that the entire calculation works much faster due to the error. XLOOKUP was still slower than the other formulas, although this time imperceptibly so.

Next, I tried to correct the error against an empty field. For XLOOKUP with the built-in parameter and for the other two formulas with an additional IFERROR query:

AMD:

Intel:

Overall, XLOOKUP didnâ€™t seem to be any faster, so I converted the test again.

## 2D Lookup

The great thing about lookup formulas is that it is also possible to search with a variable column index. Letâ€™s assume we have a price list of a coffee shop:

Beverage | Tall | Grande | Venti |
---|---|---|---|

CaffĂ¨ Americano | 3.39 | 3.89 | 4.39 |

CaffĂ¨ latte | 3.99 | 4.59 | 4.99 |

Earl Gray | 2.69 | 3.19 | 3.69 |

Coffee Frapuccino | 4.79 | 5.29 | 5.79 |

Iced White Chocolate Mocha | 4.99 | 5.49 | 5.99 |

Now we donâ€™t want to pivotize the table but get the price directly by specifying the beverage and size.

### 2D Lookup with INDEX / MATCH

With INDEX, we can specify the column as a third parameter. We want to find out how expensive the CaffĂ¨ Americano is in Venti size.

```
=INDEX(A1:D6, 2, 4)
or
=INDEX(B2:D6, 1, 3)
```

But we donâ€™t necessarily know that CaffĂ¨ Americano is at the top position. Therefore we need the MATCH formula:

```
=INDEX(A1:D6, VERGLEICH("CaffĂ© Americano", A1:A6, 0), 3)
oder
=INDEX(B2:D6, VERGLEICH("CaffĂ© Americano", A2:A6, 0), 3)
```

Now we also donâ€™t know that Venti is all the way to the right, so that needs replacing too:

```
=INDEX(A1:D6, MATCH("CaffĂ© Americano", A1:A6, 0), MATCH("Venti", A1:D1, 0))
or
=INDEX(B2:D6, MATCH("CaffĂ© Americano", A2:A6, 0), MATCH("Venti", B1:D1, 0))
```

### 2D Lookup with VLOOKUP

With VLOOKUP, additional functionality can be added only through MATCH. Normally we would enter the following formula:

```
=VLOOKUP("CaffĂ¨ Americano", A1:D6, 4, 0)
```

We can search for the correct column (in this case â€ś4â€ť) with MATCH:

```
=VLOOKUP("CaffĂ¨ Americano", A1:D6, MATCH("Venti", A1:D1, 0), 0)
```

### 2D Lookup with XLOOKUP

With XLOOKUP, basic search works as follows:

```
=XLOOKUP("CaffĂ¨ Americano", A1:A6, D1:D6)
or
=XLOOKUP("CaffĂ¨ Americano", A2:A6, D2:D6)
```

But the return array must be able to shift variably. At this point we simply use a second XLOOKUP formula

```
=XLOOKUP(Beverage,A2:A6,XLOOKUP(Size,B1:D1,B2:D6))
in a table:
=XLOOKUP(Beverage,PriceList[Beverage],XLOOKUP(Size,PriceList[[#Headers],[Tall]:[Venti]],PriceList[[Tall]:[Venti]]))
```

## Test 2 - 2D Lookup

### Test 2 - Setup

Here I took the same setup as in Test 1 but added four more columns.

ID | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|

1 | 0.97714411 | 0.34313251 | 0.47387243 | 0.92325136 | 0.70448042 |

2 | 0.57334089 | 0.59227904 | 0.72094532 | 0.62649883 | 0.10888043 |

â€¦ | â€¦ | â€¦ | â€¦ | â€¦ | â€¦ |

100000 | 0.04843126 | 0.44973681 | 0.49224276 | 0.37683903 | 0.03069793 |

The table on the second sheet received an additional column with an integer between 1 and 5. The goal was then to find the value in each respective column.

ID | Column | Formula |
---|---|---|

1 | 1 | =FORMULA |

2 | 2 | =FORMULA |

3 | 1 | =FORMULA |

4 | 3 | =FORMULA |

5 | 3 | =FORMULA |

â€¦ | â€¦ | â€¦ |

100000 | 4 | =FORMULA |

### Results of Test 2

I repeatedly performed a complete recalculation and compared the average duration of each method:

AMD:

INTEL:

Again, XLOOKUP could not outperform VLOOKUP or INDEX/MATCH in terms of performance.

## Test 3 - Unsorted data

### Test 3 - Setup

For the third test, I generated new sample data.

id | first_name | last_name | gender | ip_address | |
---|---|---|---|---|---|

1 | Andee | Audibert | aaudibert0@jigsy.com | Female | 139.9.209.124 |

2 | Kaitlyn | Bollard | kbollard1@chronoengine.com | Female | 32.192.138.202 |

â€¦ | â€¦ | â€¦ | â€¦ | â€¦ | â€¦ |

1000 | Layton | Geely | lgeely7@pen.io | Agender | 193.33.184.242 |

### Results of Test 3

Then on another sheet, I tried to find the IP address via ID. From here on out, I only used the AMD laptop because any relative differences between devices were negligible.

Then I searched for email addresses via ID but as a two-dimensional search this time..

Again here XLOOKUP was unfortunately not faster than other methods. When using RecalcTimer, XLOOKUP had better values but all numbers are very small where even a slight delay due to an external factor plays a larger role.

Then I wondered if there might be a difference whether I search in an ordered row or not. Therefore, I took the previously generated fictitious email addresses and sorted them alphabetically. I then searched for the IP address in the original list. This time, I tried recalculating with the RangeTimer.

Disappointingly, XLOOKUP was significantly slower in recalculating.

## Test 4 - Approximate Match Mode

### Setup

However, there is also an alternative match mode, which is set by default in VLOOKUP. I wanted to try this as well.

I took my initial data (ID, Name, Annual Income) and aimed to calculate it according to Â§ 32a EStG.

I did this quite awkwardly by creating three new columns named â€śxâ€ť, â€śyâ€ť, and â€śzâ€ť.

```
x:
=ROUNDDOWN(AnnualIncome, 0)
y:
=MAX((x-9984)/10000, 0)
z:
=MAX((x-14926)/10000, 0)
```

Then, in another area, I created additional data. It is important that the data in the lookup column (in my case taxable income) are sorted in ascending order:

taxable_income | Index |
---|---|

0 | 0 |

9985 | 1 |

14927 | 2 |

58597 | 3 |

277826 | 4 |

This allowed me to choose which formula to use for the calculation, in the example of VLOOKUP as follows.

```
=SWITCH(
VLOOKUP(
{AnnualIncome},
{Second data range},
2,
1
),
0,
0,
1,
(1008.7*y+1400)*y,
2,
(206.43*z+2397)*z+938.24,
3,
0.42*x-9267.53,
4,
0.45*x-17602.28
)
```

What happens here? VLOOKUP looks for the formula index in the second data range. For example, Ellene Otley in my sample data has an income of â‚¬45,888. Now VLOOKUP looks for this in the other area but with the approximate match mode. VLOOKUP checks if the number is greater than or equal to 9985. Then, if the number is greater than or equal to 14,927. After that, if the number is greater than or equal to 58,597. 45,888 is less than 58,597, so VLOOKUP steps back and returns â€ś2â€ť from the second column.

With XLOOKUP, I can then define what should happen when a 2 is returned.

```
=SWITCH(
{Here I use one of the match functions and get a number between 0 and 4},
0,
{What should happen when 0 is returned},
1,
{What should happen when 1 is returned},
and so on.
)
```

This results in â‚¬10,338.76 for an annual income of â‚¬45,888. This means that with an annual income of â‚¬45,888 you pay approximately 23% income tax.

### Results of the fourth test

Here too, the XLOOKUP function was not faster than the other methods. With RecalcTimer, XLOOKUP had better values, but all numbers are very small. A slight delay due to an external factor plays a bigger role.

Then I wondered if moving the columns â€śxâ€ť, â€śyâ€ť, and â€śzâ€ť directly into the formula would make a difference. I deleted these three columns and adjusted the tax calculation formula.

```
=LET(
x,
ABRUNDEN({AnnualIncome},0),
y,
MAX((x-9984)/10000,0),
z,
MAX((x-14926)/10000,0),
SWITCH(
{as before}
)
)
```

The results here are again very similar. Also with RecalcTimer:

Then I compared it by completely removing the reference and integrating it into the formula to see if this makes the calculation faster:

```
=LET(
taxable_income,
{AnnualIncome},
x,
ROUNDDOWN(taxable_income,0),
y,MAX((x-9984)/10000,0),
z,
MAX((x-14926)/10000,0),
SWITCH(
TRUE,
taxable_income<9985,
0,
taxable_income<14927,
(1008.7*y+1400)*y,
taxable_income<58597,
(206.43*z+2397)*z+938.24,
taxable_income<277826,0.42*x-9267.53,
0.45*x-17602.28
)
)
```

This pushed the entire recalculation down to an average of 0.00937 seconds. With RecalcTimer, it was 0.0002 seconds. This shows that a lookup function is not always the best solution.

## Returning Multiple Values

For the sake of completeness, I would also like to mention that it is possible to return multiple values with functions in Excel. The FILTER function can be used for this.

In this example, I receive the fruit as a matrix.

If I want all the values in one cell, I can combine the function with the TEXTJOIN function.

```
=TEXTJOIN(", ", TRUE, FILTER(tbl_Food[Food], tbl_Food[Type]=D2, "not found"))
```

## Conclusion

I could not confirm the assumption that the XLOOKUP function is faster than the VLOOKUP function. On the contrary, it seemed that XLOOKUP was slower than INDEX or VLOOKUP. Does this mean that I recommend using VLOOKUP? No, especially not when you need the additional arguments of XLOOKUP. Furthermore, in most normal use cases, the difference will hardly be noticeable. I am just showing that there can still be use cases where it makes sense to use VLOOKUP and also want to refute the claim that XLOOKUP is the faster formula.