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  3. Microsoft Fabric
Logo of Microsoft Fabric

Microsoft Fabric

byMicrosoft
in
4.3
2026
Market Presence: Decision Intelligence Platforms, Data Integration Tools

Overview

Product Information on Microsoft Fabric

Updated 13th October 2025

What is Microsoft Fabric?

Microsoft Fabric is a data analytics software that integrates multiple tools for data integration, data engineering, data warehousing, data science, real-time analytics and business intelligence into a single platform. The software supports connectivity across sources and provides a unified experience for data preparation, transformation and modeling. Microsoft Fabric enables organizations to store, manage and analyze data from various sources by offering access to lakehouse architecture, semantic models and reporting features. The software addresses challenges related to disparate data tools and data silos by offering centralized governance, security and collaboration functions aimed at streamlining analytics processes for business decision-making.

Microsoft Fabric Pricing

Microsoft Fabric software uses a consumption-based pricing model, where charges are calculated based on the data processing and storage resources utilized. The software offers tiers that align with organization requirements, including different levels of compute and data capacity. Payment is typically on a pay-as-you-go basis, with additional charges for premium features and higher resource usage.

Overall experience with Microsoft Fabric

Manager, Project Management
250M - 500M USD, IT Services
FAVORABLE

“Strong unified data platform with real integration benefits but requires cost discipline and a mindset shift”

4.0
Apr 20, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Software Developer
<50M USD, IT Services
CRITICAL

“Unified Analytics Platform Driving Enterprise Decision Intelligence”

3.0
May 7, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2026
For Market:
Agentic Analytics

About Company

Company Description

Updated 11th August 2023

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

Company Details

Updated 25th March 2024
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
https://microsoft.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Microsoft Fabric Reviews and Ratings

4.3

(178 Ratings)

Rating Distribution

5 Star
39%
4 Star
54%
3 Star
6%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?
  • Manager, Project Management
    50M-1B USD
    IT Services
    Review Source

    Strong unified data platform with real integration benefits but requires cost discipline and a mindset shift

    4.0
    Apr 20, 2026
    We brought in Microsoft Fabric mainly to reduce constant context switching across Azure tools. Earlier our ingestion and reporting were siloed and maintaining governance across disconnected pipelines had become a real headache. The move OneLake has been the biggest win. It cut down data duplication and made access more consistent across teams. Power BI integration was quite smoother than expected especially for real time use cases. With Synapse Real Time intelligence we are now catching data changes as they happen instead of waiting for batch updates. This is not a plug and play shift. Teams used to standalone Azure services will face a learning curve adjusting to Fabric's unified approach. Cost forecasting was also tricky at the start. The competition based model, particularly the Capacity Units (CU) took time to understand. Monitoring usage closely from day one is important to avoid surprises.
  • Manager, Project Management
    50M-1B USD
    IT Services
    Review Source

    Strong unified data platform with real integration benefits but requires cost discipline and a mindset shift

    4.0
    Apr 20, 2026
    We brought in Microsoft Fabric mainly to reduce constant context switching across Azure tools. Earlier our ingestion and reporting were siloed and maintaining governance across disconnected pipelines had become a real headache. The move OneLake has been the biggest win. It cut down data duplication and made access more consistent across teams. Power BI integration was quite smoother than expected especially for real time use cases. With Synapse Real Time intelligence we are now catching data changes as they happen instead of waiting for batch updates. This is not a plug and play shift. Teams used to standalone Azure services will face a learning curve adjusting to Fabric's unified approach. Cost forecasting was also tricky at the start. The competition based model, particularly the Capacity Units (CU) took time to understand. Monitoring usage closely from day one is important to avoid surprises.
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User Sentiment About Microsoft Fabric
Reviewer Insights for: Microsoft Fabric
Deciding Factors: Microsoft Fabric Vs. Market Average
Performance of Microsoft Fabric Across Market Features

Microsoft Fabric Likes & Dislikes

Like

The biggest win for us has been the unified storage layer through OneLake. It helped us move away from siloed storage across multiple Azure subscriptions and finally establish a consistent single source of truth for cross department governance. The Power BI integration was smoother than expected. Instead of rebuilding legacy dashboards we have extended existing ones using Direct Lake mode which saved a significant amount of time and avoided redundant work. Having Data Factory built into the same ecosystem also made a difference. It simplified pipeline orchestration and reduced our reliance on separate services. On top of that Synapse Real Time Intelligence has added clear operational value by allowing us to move from batch processing to near real time insights for daily reporting.

Like

The biggest win for us has been the unified storage layer through OneLake. It helped us move away from siloed storage across multiple Azure subscriptions and finally establish a consistent single source of truth for cross department governance. The Power BI integration was smoother than expected. Instead of rebuilding legacy dashboards we have extended existing ones using Direct Lake mode which saved a significant amount of time and avoided redundant work. Having Data Factory built into the same ecosystem also made a difference. It simplified pipeline orchestration and reduced our reliance on separate services. On top of that Synapse Real Time Intelligence has added clear operational value by allowing us to move from batch processing to near real time insights for daily reporting.

Like

The biggest win for us has been the unified storage layer through OneLake. It helped us move away from siloed storage across multiple Azure subscriptions and finally establish a consistent single source of truth for cross department governance. The Power BI integration was smoother than expected. Instead of rebuilding legacy dashboards we have extended existing ones using Direct Lake mode which saved a significant amount of time and avoided redundant work. Having Data Factory built into the same ecosystem also made a difference. It simplified pipeline orchestration and reduced our reliance on separate services. On top of that Synapse Real Time Intelligence has added clear operational value by allowing us to move from batch processing to near real time insights for daily reporting.

Dislike

Advanced decision making capabilities are limited in terms of governance visibility and predictive intelligence still needs to mature. Performance issues with large scale data. Minimal AI features are one of the dislikes I think. Troubleshooting is needed to improve the current flow.

Dislike

Advanced decision making capabilities are limited in terms of governance visibility and predictive intelligence still needs to mature. Performance issues with large scale data. Minimal AI features are one of the dislikes I think. Troubleshooting is needed to improve the current flow.

Dislike

Advanced decision making capabilities are limited in terms of governance visibility and predictive intelligence still needs to mature. Performance issues with large scale data. Minimal AI features are one of the dislikes I think. Troubleshooting is needed to improve the current flow.