Microsoft Corporation

Microsoft Fabric

Composite Score

8.0 /10

CX Score

8.6 /10

11 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.

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Awards & Recognition

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

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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 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

1
Since last award

100 Plan to Renew

86 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.

+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?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 80

Performance and Scalability

Ensembling

Explainability

Openness and Flexibility

Data Ingestion

Model Monitoring and Management

Data Exploration and Visualization

Algorithm Diversity

Algorithm Recommendation

Data Pre-Processing

Pre-Packaged AI/ML Services

Vendor Capability Ratings

Average 82

Business Value Created

Ease of Data Integration

Product Strategy and Rate of Improvement

Breadth of Features

Ease of IT Administration

Quality of Features

Availability and Quality of Training

Ease of Implementation

Usability and Intuitiveness

Vendor Support

Ease of Customization

Microsoft Fabric Reviews

Syed A.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Easy to use, but a bit pricey

Likeliness to Recommend

10 /10

What differentiates Microsoft Fabric from other similar products?

Unlike other products, it integrates all your data, apps, and business processes in one unified platform. You’ve got everything—analytics, data engineering, and even AI—all working together seamlessly. It's not just about making things easier; it’s about making businesses smarter, more efficient, and more connected. And you know, when it comes to tackling tough challenges, Microsoft Fabric empowers you with the tools you need, right at your fingertips. It’s about making sure no one gets left behind in this digital economy.

What is your favorite aspect of this product?

if I had to pick just one thing about Microsoft Fabric, it's gotta be how it brings everything together—really. You see, it’s all about connection. Whether you're looking at data, analytics, or AI, Fabric unites them in a single, seamless platform. That means no more jumping between different tools, no more confusion. It’s like putting the pieces of a puzzle together, but it’s all in one place, making life a lot easier. And in today’s world, where speed and efficiency matter more than ever, that’s a real win for businesses and workers alike. It's unity in action!

What do you dislike most about this product?

the one thing that’s a little tough about Microsoft Fabric is the learning curve. It’s a powerful tool, but sometimes, folks need more time to get comfortable with all the features. We’ve got to make it easier!

What recommendations would you give to someone considering this product?

if you're thinking about using Microsoft Fabric, here's what I'd recommend. First, take your time to understand what this platform can really do. It's a powerful tool—don’t rush it. Start small, and get familiar with the basics. Microsoft Fabric brings together data, analytics, and AI, all in one place, and that's something not every tool can offer. But, like any big change, there’s a bit of a learning curve. So, be patient, and make sure your team is ready to dive in. Next, make sure you’re clear on your goals. What are you hoping to achieve? Whether it's streamlining workflows, improving data analysis, or harnessing the power

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Vasantha R.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Likeliness to Recommend

8 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Microsoft Fabric

What is Microsoft Fabric?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

Microsoft Fabric Ratings

90 Likeliness to Recommend

1 Since last award

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+99 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.

Ensembling 'Ability to combine ML models for best results.

Explainability Ability to explain/ visualize the model.

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

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.

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

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

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

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

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

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

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.

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.

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.

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.

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 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.

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 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

Syed A.

Easy to use, but a bit pricey

Likeliness to Recommend

Pros

Vasantha R.

Likeliness to Recommend

Pros

Gilbert Q.

Many products in a single SAAS Platform

Likeliness to Recommend

Pros

Most Popular Microsoft Fabric Comparisons

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1
Since last award

2
Since last award

Feature Ratings

Performance and Scalability

Ensembling

Explainability

Openness and Flexibility

Data Ingestion

Model Monitoring and Management

Data Exploration and Visualization

Algorithm Diversity

Algorithm Recommendation

Data Pre-Processing

Pre-Packaged AI/ML Services

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Product Strategy and Rate of Improvement

Breadth of Features

Ease of IT Administration

Quality of Features

Availability and Quality of Training

Ease of Implementation

Usability and Intuitiveness

Vendor Support

Ease of Customization