Compact mode

SUM vs SEQUENCE vs LAMBDA

Table of content

Basic Classification Comparison
Usage Context Comparison
Basic Information Comparison
History Comparison
Facts Comparison

Usage Information Comparison
Technical Details Comparison
Evaluation Comparison
Ratings Comparison

Basic Classification Comparison

Function Category 📊

Primary classification of the Excel function based on its main purpose and usage domain, helps users quickly identify function types

SUM

Mathematical

SUM belongs to the Mathematical category. Excel functions for performing mathematical calculations Click to see all.

SEQUENCE

Mathematical

SEQUENCE belongs to the Mathematical category. Excel functions for performing mathematical calculations Click to see all.

LAMBDA

Engineering

LAMBDA belongs to the Engineering category. Excel functions designed for engineering calculations and analysis Click to see all.
Operation Type 🔧

Fundamental type of operation or action that the Excel function performs on its inputs

For all*

Calculation

Excel functions for performing various calculations

Usage Context Comparison

For whom 👥

Target user groups who would benefit most from using this Excel function

For all*

Data Analysts

Excel functions specifically designed for data analysis and interpretation

SUM

Business Managers

SUM is designed for Business Managers. Excel functions helpful for business management and decision making Click to see all.

SEQUENCE

Programmers

SEQUENCE is designed for Programmers. Excel functions useful for programming and automation tasks Click to see all.

Scientists

SEQUENCE is designed for Scientists. Excel functions used in scientific calculations and research Click to see all.

LAMBDA

Programmers

LAMBDA is designed for Programmers. Excel functions useful for programming and automation tasks Click to see all.
Purpose 📝

Primary purposes and use cases of the Excel function

For all*

Data Analysis

Functions specifically designed for analyzing data

SUM

Data Aggregation

SUM is used for Data Aggregation. Functions for combining and summarizing data Click to see all.

LAMBDA

Custom Functions

LAMBDA is used for Custom Functions. Functions that allow user-defined custom calculations Click to see all.

Basic Information Comparison

Known For ⭐

Distinctive characteristic or primary strength of the Excel function

SUM

Basic Arithmetic Calculations

SUM is known for Basic Arithmetic Calculations.

SEQUENCE

Dynamic Number Series

SEQUENCE is known for Dynamic Number Series.

LAMBDA

Custom Function Creation

LAMBDA is known for Custom Function Creation.

History Comparison

Creation Date 📅

Original release date of the Excel function

SUM

Excel 2.0

SUM was created in Excel 2.0. Functions introduced in the Excel 2.0 version release Click to see all.

SEQUENCE

Excel 2019

SEQUENCE was created in Excel 2019. Functions introduced in Excel 2019 release Click to see all.

LAMBDA

Excel 365

LAMBDA was created in Excel 365. Functions available in Excel 365 subscription Click to see all.
Created By 👤

Organization or team responsible for developing the function

For all*

Microsoft Excel Team

Functions officially created by the Microsoft Excel development team

Facts Comparison

Interesting Fact 💡

Unique or lesser-known information about the Excel function

SUM

Most commonly used function in Excel

SEQUENCE

Creates perfect arithmetic sequences

LAMBDA

Brings programming concepts to Excel
Sarcastic Fact 🤣

Humorous or ironic observation about the Excel function

SUM

Making adding numbers look complicated since 1985

SEQUENCE

Like counting sheep but for insomnia-free Excel users

LAMBDA

Like teaching Excel to speak programmer

Usage Information Comparison

Formula Complexity Level 📖

Indicates the difficulty level and complexity of using the Excel function effectively

SUM

Simple

SUM has a Simple complexity level. Basic Excel functions for common calculations and tasks Click to see all.

SEQUENCE

Advanced

SEQUENCE has a Advanced complexity level. Complex Excel functions for sophisticated calculations and operations Click to see all.

LAMBDA

Advanced

LAMBDA has a Advanced complexity level. Complex Excel functions for sophisticated calculations and operations Click to see all.

Technical Details Comparison

Input Data Type 📝

Types of data that the Excel function accepts as input parameters

SUM

Number

SUM accepts Number as input data. Excel functions specifically designed for numerical calculations

SEQUENCE

Number

SEQUENCE accepts Number as input data. Excel functions specifically designed for numerical calculations

LAMBDA

Array

LAMBDA accepts Array as input data. Excel functions designed to work with arrays and ranges of data Click to see all.

Any

LAMBDA accepts Any as input data. Excel functions that can handle multiple types of input data
Version Compatibility 💻

Indicates which Excel versions and platforms the function is compatible with < including Office 365< Excel 2019< 2016< etc.

For all*

Microsoft 365

Excel functions optimized for the latest Microsoft 365 platform

SUM

Excel 2019

SUM is compatible with Excel 2019 Excel functions that work specifically in Excel 2019 version

Excel 2016

SUM is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version

Excel 2013

SUM is compatible with Excel 2013 Excel functions that work specifically in Excel 2013 version

Excel Online

SUM is compatible with Excel Online Excel functions optimized for use in the web-based Excel Online platform

SEQUENCE

Excel 2019

SEQUENCE is compatible with Excel 2019 Excel functions that work specifically in Excel 2019 version
Operating System 💾

Specifies the operating systems where the function can be used < including Windows< macOS< and web platforms

For all*

Windows

Excel functions optimized for Windows operating system

MacOS

Excel functions optimized for MacOS users

SUM

Web Excel

SUM runs on Web Excel Excel functions available in web-based versions

SEQUENCE

Excel Online

SEQUENCE runs on Excel Online Excel functions available in the online version of Excel

LAMBDA

Excel Online

LAMBDA runs on Excel Online Excel functions available in the online version of Excel
Required Arguments Count 🔢

Number of mandatory arguments needed for the function to work properly

For all*

1
Required Arguments Type 📊

The data types accepted as valid input arguments for the function

SUM

Number

SUM accepts Number as input types Excel functions that perform calculations specifically with numerical inputs

Range

SUM accepts Range as input types Excel functions that operate on cell ranges for calculations

Array

SUM accepts Array as input types Excel functions that specifically work with array inputs for calculations

SEQUENCE

Number

SEQUENCE accepts Number as input types Excel functions that perform calculations specifically with numerical inputs

LAMBDA

Array

LAMBDA accepts Array as input types Excel functions that specifically work with array inputs for calculations

Any

LAMBDA accepts Any as input types Excel functions that can process multiple types of input arguments without restrictions

Evaluation Comparison

Pros ✅

Key advantages and strengths of the Excel function

SUM

Easy To Use

Widely Recognized

Versatile

Fast Calculation

SEQUENCE

Automatic Sequence Generation

Dynamic Arrays

Flexible Steps

Generates Number Series

LAMBDA

Reusable Code

Excel functions with reusable code enable efficient formula implementation across different scenarios

Custom Functions

Functions that allow user-defined customization and operations

Recursive Capability

Reusable Custom Functions

Reduces Complexity
Cons ❌

Limitations and potential drawbacks of the Excel function

SUM

Limited To Numbers Only

Cannot Handle Text

No Text Handling

SEQUENCE

Modern Excel Required

Overflow Potential

New Versions Only

Limited Customization

LAMBDA

Steep Learning Curve

Functions that require significant time and effort to master Click to see all.

Modern Excel Only

Recent Addition

Advanced Concept

Functions that require advanced Excel knowledge and complex understanding to use effectively Click to see all.