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Microsoft Corporation

Microsoft Power Query

Composite Score

8.7 /10

CX Score

9.1 /10

131 Reviews Write a Review

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.

Company Details

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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 Emotional Footprint Champion

Latest Award, 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

1
Since last award

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.

+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

5% Neutral

93% Positive

Pros

Reliable
Performance Enhancing
Enables Productivity
Fair

Feature Ratings

Average 81

Data Preparation Workflow

100

Message Model

Data Integration

Data Cleansing

Data Connectors and Data Mashup

Data Pre-Processing

Data Access

Data Profiling

Data Modelling Tools

Data Security & Masking

Data Enrichment

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

Vendor Support

Availability and Quality of Training

Ease of Customization

Microsoft Power Query Reviews

A.K.M Mahmudul I.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Super easy product

Likeliness to Recommend

7 /10

What differentiates Microsoft Power Query from other similar products?

Easy to data analytics

What is your favorite aspect of this product?

Features and ease of use

What do you dislike most about this product?

Row limitation

What recommendations would you give to someone considering this product?

Data modelling

Pros

Enables Productivity
Efficient Service
Saves Time
Altruistic

Meenakshi R.

Role: Consultant
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2024

Data transformation engine

Likeliness to Recommend

8 /10

What differentiates Microsoft Power Query from other similar products?

Easy reusability of code

What is your favorite aspect of this product?

Support for various data source ingestion

What do you dislike most about this product?

Nothing at all

What recommendations would you give to someone considering this product?

Data prep and flow tool

Pros

Helps Innovate
Unique Features
Respectful
Fair

Rajiv k.

Role: Information Technology
Industry: Education
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2026

Best tool to analytical data analysis on platform

Likeliness to Recommend

10 /10

What differentiates Microsoft Power Query from other similar products?

Basically I was using internal tools to show dashboard but it is not upto the mark so we implement this tool to get the data into dashboards like how much sales happens as well as margin between them as well as transaction history and analysis of refund and adjusting amounts which comes to us and what is happening in sales like orders are coming or not and from which areas is coming like location of person so we can run the ads their to bring more business as well

What is your favorite aspect of this product?

Best part is the data connector which automatically refreshes so we don't need the data to put again and again as well as easy dashboard view with filtration inside it

What do you dislike most about this product?

Nothing everything is fine from my side

What recommendations would you give to someone considering this product?

Best product to analysis of user as well as sales analytics with knowing about the activity of orders so you can hit back to that location with retargeting of products as well

Pros

Helps Innovate
Reliable
Enables Productivity
Unique Features

How We Deliver

Events

Microsoft Power Query

What is Microsoft Power Query?

Company Details

Need Assistance?

Awards & Recognition

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

1 Since last award

82 Satisfaction of Cost Relative to Value

1 Since last award

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 Preparation Workflow Visual, repeatable pipelines to clean, transform, join, and enrich data from multiple sources, preparing trusted datasets for analysis and reporting.

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

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

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

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

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.

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.

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

A.K.M Mahmudul I.

Super easy product

Likeliness to Recommend

Pros

Meenakshi R.

Data transformation engine

Likeliness to Recommend

Pros

Rajiv k.

Best tool to analytical data analysis on platform

Likeliness to Recommend

Pros

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1
Since last award

1
Since last award

Feature Ratings

Data Preparation Workflow

Message Model

Data Integration

Data Cleansing

Data Connectors and Data Mashup

Data Pre-Processing

Data Access

Data Profiling

Data Modelling Tools

Data Security & Masking

Data Enrichment

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

Availability and Quality of Training

Ease of Customization