This content is currently locked.

Your current Info-Tech Research Group subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
1-888-670-8889 (US/CAN) or
+1-519-432-3550 (International)

Microsoft Corporation

Microsoft Fabric

Composite Score

8.0 /10

CX Score

8.5 /10

10 Reviews Write a Review

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Microsoft Fabric Ratings

Real user data aggregated to summarize the product performance and customer experience.

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

100 Plan to Renew

88 Satisfaction of Cost Relative to Value

{y}

{name}

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
Performance Enhancing

Feature Ratings

Average 80

Ensembling

Performance and Scalability

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 83

Business Value Created

Ease of Data Integration

Breadth of Features

Ease of IT Administration

Quality of Features

Ease of Implementation

Product Strategy and Rate of Improvement

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization

Vendor Support

Microsoft Fabric Reviews

Ankit ..

Role: Consultant
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted May 2024

Microsoft fabric is easy to use but a bit pricey.

Likeliness to Recommend

10 /10

What differentiates Microsoft Fabric from other similar products?

It provides centralized data centres such as data lake, for different use cases like database management, BI reporting and Machine learning model creation.

What is your favorite aspect of this product?

Data lake is fantastic feature of microsoft fabric, in which we can centralize data for different business use cases

What do you dislike most about this product?

Somewhat there is security concern for the data

What recommendations would you give to someone considering this product?

Microsoft fabric provides fantastic and new feature like One lake, forecasting, BI reporting and data modelling. It provides a centralized data lake due to which we can modify data in database as per requirement, we don't need to ask for database management team

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Caring

Latest Research

Microsoft Fabric

What is Microsoft Fabric?

Company Details

Need Assistance?

Microsoft Fabric Ratings

89 Likeliness to Recommend

100 Plan to Renew

88 Satisfaction of Cost Relative to Value

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

Ensembling 'Ability to combine ML models for best results.

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

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.

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.

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.

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.

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.

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.

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.

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.

Microsoft Fabric Reviews

Ankit ..

Microsoft fabric is easy to use but a bit pricey.

Likeliness to Recommend

Pros

Most Popular Microsoft Fabric Comparisons

Google Cloud Vertex AI

MathWorks MATLAB

AWS Machine Learning

Microsoft Azure Machine Learning

DataRobot AI Platform

Databricks Data Intelligence Platform

Title

Feature Ratings

Ensembling

Performance and Scalability

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

Breadth of Features

Ease of IT Administration

Quality of Features

Ease of Implementation

Product Strategy and Rate of Improvement

Availability and Quality of Training

Usability and Intuitiveness

Ease of Customization

Vendor Support