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Microsoft Corporation

Microsoft Power Query

Composite Score

8.7 /10

CX Score

9.1 /10

137 Reviews Write a Review

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What is Microsoft Power Query?

Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data.

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Awards & Recognition

Microsoft Power Query won the following awards in the Data Preparation for Analytics category

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2026 Emotional Footprint Champion

Latest Award, 2026

Product Impact

Latest Award, 2026

2026 Data Quadrant Champion

2026

0 Top Rated Capabilities

2 Top Rated Features

2026

2025 Emotional Footprint Champion

2025

2025 Data Quadrant Champion

2025

2 Top Rated Capabilities

2 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

7 Top Rated Capabilities

5 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

2023 Data Quadrant Champion

2023

2 Top Rated Capabilities

5 Top Rated Features

2023

Microsoft Power Query Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Microsoft Power Query.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

89 Likeliness to Recommend

96 Plan to Renew

82 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Microsoft Power Query?

2% Negative

4% Neutral

94% Positive

Pros

Performance Enhancing
Reliable
Enables Productivity
Respectful

Feature Ratings

Average 80

Data Integration

Data Cleansing

Data Pre-Processing

Data Access

Data Connectors and Data Mashup

Data Profiling

Data Modelling Tools

Data Enrichment

Data Security & Masking

Data Packaging

Message Model

Vendor Capability Ratings

Average 79

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Quality of Features

Usability and Intuitiveness

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

Ease of Customization

Availability and Quality of Training

Microsoft Power Query Reviews

Opeyemi B.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2025

A powerful data prep tool with some minor flaws

Likeliness to Recommend

9 /10

What differentiates Microsoft Power Query from other similar products?

Microsoft Power Query stands out due to its seamless integration with Microsoft's ecosystem and robust data transformation capabilities.

What is your favorite aspect of this product?

Robust data transformation capabilities, the power Query's advanced data transformation features which includes filtering, grouping, and merging, this makes it a valuable asset for data preparation.

What do you dislike most about this product?

Limited support for certain data source, as it supports many data sources, some niche or proprietary sources may not be supported also debugging and error handling challenges, Identifying and resolving errors in Power Query can be somewhat uneasy due to its formula-based language.

What recommendations would you give to someone considering this product?

i will recommend them to; Practice with sample datasets to understand its capabilities and limitations; Evaluate performance with large datasets to ensure it meets your needs; Consider training or resources to help you master Power Query.

Pros

Helps Innovate
Reliable
Performance Enhancing
Unique Features

SOMTO E.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2025

Easy to Use

Likeliness to Recommend

9 /10

What differentiates Microsoft Power Query from other similar products?

Seamless Microsoft Integration Embedded in Power BI, Excel, and Azure Data Factory: Directly connect to Excel, SQL Server, SharePoint, Dynamics 365 without extra setup. One-click publishing to Power BI Service or Azure. Competitors: Alteryx/Tableau Prep require separate exports.

What is your favorite aspect of this product?

Low-Code with Advanced Backend (M Language) GUI for beginners, M code for pros: Drag-and-drop transforms (e.g., pivot, merge) with no coding. M language unlocks advanced logic (like Python in Pandas, but optimized for ETL). Competitors: Tableau Prep is simpler but less flexible; Python requires coding.

What do you dislike most about this product?

no version control or collaboration

What recommendations would you give to someone considering this product?

it is easy to use so i strongly recommend

Pros

Reliable
Performance Enhancing
Enables Productivity
Efficient Service

Nwoye M.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted May 2025

Powerful and Flexible

Likeliness to Recommend

8 /10

What differentiates Microsoft Power Query from other similar products?

Seamless Integration with Microsoft Ecosystem. User-Friendly Interface with Low-Code Approach. Powerful Data Shaping Capabilities. Query Folding for Efficiency. M Language for Advanced Logic. Integration with Dataflows. Cross-platform Compatibility.

What is your favorite aspect of this product?

its seamless integration with Excel and Power BI

What do you dislike most about this product?

its limited error handling and debugging capabilities.

What recommendations would you give to someone considering this product?

Master the Basics First. Leverage Query Folding. Use Parameters for Flexibility. Keep Transformations Modular. Document Your Steps. Test Regularly. Avoid Excessive Steps. Learn M Language Basics. Backup Your Queries. Explore Dataflows for Reusability.

Pros

Efficient Service
Effective Service
Helps Innovate
Continually Improving Product

Microsoft Power Query

What is Microsoft Power Query?

Company Details

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Awards & Recognition

2026 Emotional Footprint Champion

2026 Data Quadrant Champion

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Microsoft Power Query Ratings

89 Likeliness to Recommend

96 Plan to Renew

82 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Microsoft Power Query?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources.

Data Security & Masking Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Message Model Defines the schema and structure of event or API data messages, enabling validation, parsing, and transformation of streaming data for analytics.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Microsoft Power Query Reviews

Opeyemi B.

A powerful data prep tool with some minor flaws

Likeliness to Recommend

Pros

SOMTO E.

Easy to Use

Likeliness to Recommend

Pros

Nwoye M.

Powerful and Flexible

Likeliness to Recommend

Pros

Most Popular Microsoft Power Query Comparisons

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Tableau

Ataccama ONE Platform

Rapidminer Monarch

Rapidminer AI Studio

Feature Ratings

Data Integration

Data Cleansing

Data Pre-Processing

Data Access

Data Connectors and Data Mashup

Data Profiling

Data Modelling Tools

Data Enrichment

Data Security & Masking

Data Packaging

Message Model

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Ease of Implementation

Breadth of Features

Quality of Features

Usability and Intuitiveness

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

Ease of Customization

Availability and Quality of Training