Microsoft Corporation

Microsoft Fabric

Composite Score

8.1 /10

CX Score

8.6 /10

15 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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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

88 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

100

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 99%
Negotiation and Contract:: 98%
Conflict Resolution:: 97%
Strategy & Innovation:: 100%
Service Experience:: 99%

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

Data Ingestion

Openness and Flexibility

Ensembling

Model Monitoring and Management

Data Exploration and Visualization

Pre-Packaged AI/ML Services

Explainability

Data Pre-Processing

Algorithm Diversity

Algorithm Recommendation

Vendor Capability Ratings

Average 81

Business Value Created

Ease of Data Integration

Quality of Features

Breadth of Features

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Implementation

Usability and Intuitiveness

Vendor Support

Ease of Customization

Availability and Quality of Training

Microsoft Fabric Reviews

Atma P.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Oct 2024

Complete data integration and governance package

Likeliness to Recommend

10 /10

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

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

88 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+99 Net Emotional Footprint

How much do users love Microsoft Fabric?

Chart

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.

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.

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

Ensembling 'Ability to combine ML models for best results.

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.

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

Explainability Ability to explain/ visualize the model.

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

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.

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.

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.

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.

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.

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.

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.

Microsoft Fabric Reviews

Atma P.

Complete data integration and governance package

Likeliness to Recommend

Pros

Most Popular Microsoft Fabric Comparisons

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DataRobot AI Platform

1
Since last award

Feature Ratings

Performance and Scalability

Data Ingestion

Openness and Flexibility

Ensembling

Model Monitoring and Management

Data Exploration and Visualization

Pre-Packaged AI/ML Services

Explainability

Data Pre-Processing

Algorithm Diversity

Algorithm Recommendation

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Quality of Features

Breadth of Features

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Implementation

Usability and Intuitiveness

Vendor Support

Ease of Customization

Availability and Quality of Training