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Microsoft Corporation

Microsoft Fabric

Composite Score

8.4 /10

CX Score

8.9 /10

25 Reviews Write a Review

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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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Awards & Recognition

Microsoft Fabric won the following awards in the Machine Learning Platforms category

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7 Top Rated Capabilities

5 Top Rated Features

Latest Award, 2026

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2025

6 Top Rated Capabilities

5 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2024

Microsoft Fabric Ratings

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

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.

90 Likeliness to Recommend

100 Plan to Renew

88 Satisfaction of Cost Relative to Value

2
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.

+98 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?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Feature Ratings

Average 80

Performance and Scalability

Openness and Flexibility

Ensembling

Data Ingestion

Explainability

Model Training

Algorithm Recommendation

Data Labeling

Data Exploration and Visualization

Model Monitoring and Management

Algorithm Diversity

Vendor Capability Ratings

Average 82

Breadth of Features

Business Value Created

Product Strategy and Rate of Improvement

Ease of IT Administration

Quality of Features

Ease of Data Integration

Usability and Intuitiveness

Vendor Support

Ease of Implementation

Availability and Quality of Training

Ease of Customization

Microsoft Fabric Reviews

Gilbert Q.

Role: Consultant
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

Many products in a single SAAS Platform

Likeliness to Recommend

8 /10

What differentiates Microsoft Fabric from other similar products?

Single SaaS Platform

What is your favorite aspect of this product?

Single copy of data

What do you dislike most about this product?

Lots of new features

What recommendations would you give to someone considering this product?

Try it out and see if it works for you.

Pros

Helps Innovate
Continually Improving Product
Reliable
Trustworthy

Siddharth C.

Role: Finance
Industry: Manufacturing
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jul 2024

Easy data handling with fabric

Likeliness to Recommend

9 /10

What differentiates Microsoft Fabric from other similar products?

Microsoft being a globally trusted brand provides us a safe space for our data. Integration with other Microsoft provided services like Microsoft 365 or power-bi is much more convenient with Microsoft fabric. These kind of diverse extensions are not available in most of other solutions in market.

What is your favorite aspect of this product?

Any organization which is in implementation of Azure data platform for cloud can easily opt for Microsoft Fabric as they are pieces made of same cloth, data security issues are out of question. Data scalability is not an issue with storage and computational power supported by Azure. This removes all data scaling iussues.

What do you dislike most about this product?

Integration with other cloud services like google cloud or amazon web services is a bit difficult to handle. Microsoft did provide customizations to make it possible. But still it can be improved.

What recommendations would you give to someone considering this product?

Having a team with good knowledge on data engineering may help to bring out its true potential. Though security measures are taken, data is still sensitive and its better to be safe than sorry.

Pros

Friendly Negotiation
Helps Innovate
Continually Improving Product
Enables Productivity

FAITH F.

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

Validated Review

Verified Reviewer

Submitted Sep 2025

The Future of Data

Likeliness to Recommend

9 /10

What differentiates Microsoft Fabric from other similar products?

Microsoft Fabric's main differentiator is its all-in-one, "SaaS-like" approach. It unifies a wide range of data-related workloads, from data engineering to data science and business intelligence under a single, integrated platform with a unified data lake.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Fabric is its unified, all-in-one approach. It's a game-changer to have everything from data ingestion to BI dashboards in a single platform. It completely removes the friction of having to stitch together multiple services, making the whole workflow so much more efficient and enjoyable.

What do you dislike most about this product?

The tools for things like DevOps and CI/CD are not as robust as they should be, and sometimes it feels like a work in progress, which can be frustrating when you're managing a complex project.

What recommendations would you give to someone considering this product?

Based on my experience, if you're already in the Microsoft ecosystem and want to simplify your data stack, I'd highly recommend Microsoft Fabric. The way it unifies everything from data engineering to BI is a game-changer. Just be prepared for some growing pains, as it's still a new product and can feel a bit immature, especially when it comes to DevOps. Start with a small project to get a feel for it, and you'll quickly see the potential.

Pros

Helps Innovate
Reliable
Performance Enhancing
Trustworthy

Microsoft Fabric

What is Microsoft Fabric?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

Microsoft Fabric Ratings

90 Likeliness to Recommend

100 Plan to Renew

88 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+98 Net Emotional Footprint

How much do users love Microsoft Fabric?

Pros

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

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Ensembling 'Ability to combine ML models for best results.

Data Ingestion 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.

Explainability Ability to explain/ visualize the model.

Model Training Ability to train a model with a range of data sets that you provide.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Data Labeling Ability to annotate/label data to create a training data set.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

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

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.

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.

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.

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

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.

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

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.

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 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.

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 Fabric Reviews

Gilbert Q.

Many products in a single SAAS Platform

Likeliness to Recommend

Pros

Siddharth C.

Easy data handling with fabric

Likeliness to Recommend

Pros

FAITH F.

The Future of Data

Likeliness to Recommend

Pros

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2
Since last award

Feature Ratings

Performance and Scalability

Openness and Flexibility

Ensembling

Data Ingestion

Explainability

Model Training

Algorithm Recommendation

Data Labeling

Data Exploration and Visualization

Model Monitoring and Management

Algorithm Diversity

Vendor Capability Ratings

Breadth of Features

Business Value Created

Product Strategy and Rate of Improvement

Ease of IT Administration

Quality of Features

Ease of Data Integration

Usability and Intuitiveness

Vendor Support

Ease of Implementation

Availability and Quality of Training

Ease of Customization