Microsoft Corporation

Microsoft Power Query

Composite Score

8.7 /10

CX Score

9.0 /10

111 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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2025 Data Quadrant Champion

Latest Award, 2025

2 Top Rated Capabilities

2 Top Rated Features

Latest Award, 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.

88 Likeliness to Recommend

94 Plan to Renew

82 Satisfaction of Cost Relative to Value

1
Since last award

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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.

+91 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?

1% Negative

6% Neutral

93% Positive

Pros

Reliable
Performance Enhancing
Helps Innovate
Enables Productivity

Feature Ratings

Average 80

Data Integration

Data Connectors and Data Mashup

Data Pre-Processing

Data Cleansing

Data Access

Data Profiling

Data Security

Data Modelling Tools

Data Enrichment

Data Packaging

Cataloging

Vendor Capability Ratings

Average 80

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

Availability and Quality of Training

Vendor Support

Ease of Customization

Microsoft Power Query Reviews

Maha B.

Role: Student Academic
Industry: Biotechnology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2025

This product enables productivity!

Likeliness to Recommend

8 /10

What differentiates Microsoft Power Query from other similar products?

Easy integration and the advanced data analysis that can be easily done.

What is your favorite aspect of this product?

Ease of integration

What do you dislike most about this product?

The user interface could be better

What recommendations would you give to someone considering this product?

If you are an excel user, this is very easy to use as well.

Pros

Reliable
Enables Productivity
Trustworthy
Efficient Service

Nathaniel E.

Role: Operations
Industry: Engineering
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2025

Powerful Data Transformation Tool

Likeliness to Recommend

9 /10

What differentiates Microsoft Power Query from other similar products?

1. Seamless Integration with Microsoft Ecosystem Power Query integrates natively with Excel, Power BI, and Microsoft Dataverse, making it an ideal choice for users already working within the Microsoft ecosystem. It also connects seamlessly with Azure services and Office 365, enhancing its utility in cloud environments. 2. No-Code/Low-Code Interface Power Query allows users to transform data without writing complex code. Its drag-and-drop interface and formula editor make it accessible to users of all technical levels.

What is your favorite aspect of this product?

s seamless integration with the Microsoft ecosystem, especially within Excel and Power BI.

What do you dislike most about this product?

s performance with very large datasets. While it handles typical datasets well, it can become slow and inefficient when dealing with massive amounts of data, especially if the data transformations involve complex operations or multiple sources. This can lead to delays or frustration for users working with large-scale business intelligence or big data projects.

What recommendations would you give to someone considering this product?

1. Leverage Integration with Microsoft Tools If you're already using Excel or Power BI, Power Query is a great choice as it integrates seamlessly with these tools. Take advantage of Power Query's data transformation capabilities within Power BI to build powerful, automated dashboards and reports. 2. Start with Simple Use Cases Begin by using Power Query for basic data import and transformation tasks like filtering, sorting, and merging data. Once you’re comfortable, move on to more advanced transformations using the M language or complex queries.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Phil S.

Role: Sales Marketing
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2025

Data modeling that actually helps

Likeliness to Recommend

8 /10

What differentiates Microsoft Power Query from other similar products?

The data modeling capabilities are very robust

What is your favorite aspect of this product?

Data modeling

What do you dislike most about this product?

Collaboration with peers is often difficult

What recommendations would you give to someone considering this product?

Improve the platform in a way that makes it either to collaborate with peers

Pros

Over Delivered
Effective Service
Saves Time
Fair

Cons

Slower Product Innovation
Less Productive
Less Efficient Service

Microsoft Power Query

What is Microsoft Power Query?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Microsoft Power Query Ratings

88 Likeliness to Recommend

94 Plan to Renew

82 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+91 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 Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

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

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

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

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

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

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

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.

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.

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.

Microsoft Power Query Reviews

Maha B.

This product enables productivity!

Likeliness to Recommend

Pros

Nathaniel E.

Powerful Data Transformation Tool

Likeliness to Recommend

Pros

Phil S.

Data modeling that actually helps

Likeliness to Recommend

Pros

Cons

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Data Integration

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Data Access

Data Profiling

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Data Modelling Tools

Data Enrichment

Data Packaging

Cataloging

Vendor Capability Ratings

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Ease of Implementation

Breadth of Features

Quality of Features

Usability and Intuitiveness

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

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Ease of Customization