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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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
95 Plan to Renew
83 Satisfaction of Cost Relative to Value
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?
Pros
- Reliable
- Performance Enhancing
- Helps Innovate
- Enables Productivity
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
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Feature Ratings
Data Integration
Data Cleansing
Data Connectors and Data Mashup
Data Pre-Processing
Data Modelling Tools
Data Access
Data Security
Data Profiling
Data Enrichment
Data Packaging
Collaboration
Vendor Capability Ratings
Business Value Created
Ease of Data Integration
Ease of Implementation
Quality of Features
Breadth 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
Opeyemi B.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jul 2025
A powerful data prep tool with some minor flaws
Likeliness to Recommend
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
Submitted Jul 2025
Easy to Use
Likeliness to Recommend
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
Ayobami S.
- Role: Operations
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted May 2025
Great for Enterprises, Less Ideal for Agile Teams
Likeliness to Recommend
What differentiates Microsoft Power Query from other similar products?
Power Query stands out for its deep integration with Excel and Power BI, making it incredibly accessible for both technical and non-technical users. Its intuitive, step-by-step interface allows for complex data transformations without writing code—yet still offers advanced users the flexibility of M language when needed. The balance of power, simplicity, and built-in connectivity to a wide range of data sources sets it apart.
What is your favorite aspect of this product?
My favorite aspect of Microsoft Power Query is its ability to simplify complex data transformations through a user-friendly, step-by-step interface—especially for non-developers. It feels like coding without actually writing code, and the instant preview of changes makes cleaning and shaping data intuitive and fast.
What do you dislike most about this product?
What I dislike most about Microsoft Power Query is its limited support for collaborative development and version control.
What recommendations would you give to someone considering this product?
What I dislike most about Microsoft Power Query is its limited support for collaborative development and version control. When working in teams, it can be difficult to track changes or merge updates across multiple users—especially compared to more modern, cloud-based data platforms. Also, performance can lag when dealing with very large datasets.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing