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What is Microsoft Fabric?
Microsoft Fabric is a platform that allows users to get, create, share, and visualize data using an array of tools. Give your data teams all the tools they need in a unified experience that helps reduce the cost and effort of data integration, governance, and security.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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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.
91 Likeliness to Recommend
2
Since last award
100 Plan to Renew
87 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
- Product Experience:
- 98%
- Negotiation and Contract:
- 98%
- Conflict Resolution:
- 97%
- Strategy & Innovation:
- 100%
- Service Experience:
- 100%
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.
+99 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 Fabric?
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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
Negative
Neutral
Positive
Feature Ratings
Performance and Scalability
Openness and Flexibility
Data Ingestion
Ensembling
Model Monitoring and Management
Explainability
Algorithm Diversity
Data Pre-Processing
Algorithm Recommendation
Pre-Packaged AI/ML Services
Data Exploration and Visualization
Vendor Capability Ratings
Ease of Data Integration
Business Value Created
Product Strategy and Rate of Improvement
Quality of Features
Breadth of Features
Ease of IT Administration
Ease of Implementation
Usability and Intuitiveness
Availability and Quality of Training
Ease of Customization
Vendor Support
Microsoft Fabric Reviews

Ayodamope O.
- Role: Information Technology
- Industry: Banking
- Involvement: End User of Application
Submitted Jan 2025
Powerful but could use more advanced features
Likeliness to Recommend
What differentiates Microsoft Fabric from other similar products?
Seamless Integration with Microsoft Ecosystem Unified Data Platform: It brings together data integration, engineering, warehousing, science, real-time analytics, and business intelligence into one platform, reducing the need for multiple disparate tools. Lakehouse Architecture: Fabric supports a modern lakehouse architecture, combining the benefits of a data warehouse and a data lake, making it highly scalable and suitable for both structured and unstructured data.
What is your favorite aspect of this product?
Unified Data Platform: It brings together data integration, engineering, warehousing, science, real-time analytics, and business intelligence into one platform, reducing the need for multiple disparate tools.
What do you dislike most about this product?
The main drawback of Microsoft Fabric is its steep learning curve for new users, particularly those who are not familiar with the broader Microsoft ecosystem. Despite its unified platform, navigating its wide range of features can feel daunting at first.
What recommendations would you give to someone considering this product?
To get the most out of Microsoft Fabric, start with a pilot project, invest in team training, and familiarize yourself with the Microsoft ecosystem. Ensure compatibility with existing tools, leverage community resources, and monitor costs to determine if it aligns with your organization’s data strategy.
Pros
- Performance Enhancing
- Enables Productivity
- Unique Features
- Saves Time
Please tell us why you think this review should be flagged.

Kishore Kumar S.
- Role: Information Technology
- Industry: Finance
- Involvement: Business Leader or Manager
Submitted Oct 2024
Fantastic Data fabrication tool
Likeliness to Recommend
What differentiates Microsoft Fabric from other similar products?
Iis AI methodology of developing output is awesome we just need to remodel as per to our requirement, so simple for end user to use.
What is your favorite aspect of this product?
Data integration and data modelling
What do you dislike most about this product?
Not able to view all in one page too clustered and confusing patterns
What recommendations would you give to someone considering this product?
Definitely I will suggest to buy and try themselves as it is one of the best tool from Microsoft.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.

Atma P.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Complete data integration and governance package
Likeliness to Recommend
What differentiates Microsoft Fabric from other similar products?
Its a complete package when compares to similar tools like data bricks or synapse analytics. This comes with semantic model and BI integration which solves a lot of problem of data bricks.
What is your favorite aspect of this product?
Integration of every services into a single package.
What do you dislike most about this product?
Pricing is a little bit higher.
What recommendations would you give to someone considering this product?
If you are a above mid level company you can go for it else go for azure services
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
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