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  3. Microsoft Fabric
Logo of Microsoft Fabric

Microsoft Fabric

byMicrosoft
in
4.3
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.
Data Engineer
50M - 250M USD, Consumer Goods
CRITICAL

“Unclear Cost Structure and Resource Usage Create Challenges in Software Management”

2.0
Mar 31, 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.

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

What Your Peers Are Saying About Microsoft Fabric

VP of IT
Does any of you have any material or context around Microsoft Fabric and/or operational frameworks that every BI Team should be embracing? Two separate topics. Fabric discussions will help us navigate this new environment. Framework discussions will help identify any risks or gaps in our team structure/vision.
CIO
It's a unified platform combining data integrations, engineering, science and BI with deep Power BI Integration. It's perfect for breaking silos between teas, using OneLake for centralized data, and leveraging AI-powered tools like Copilot for insights. Start by exploring its use for your lakehouse needs and upskilling yout team on its features. For BI framework (Operational), focus on Agile practices for delivery, strong data governance, clear KPI's for team success and risk management strategies. Regular training and centralized documentation keep the team aligned and resilient. Both topics are collaboration and ensuring a setup for scalable and efficient growth.
See Full Discussion
21 Jan 20252.1k Views1 Comment
IT Manager
We observed Microsoft Fabric is a emerging data platform in the Market. Can you recommend any comparisons done between Microsoft Fabric and other data platform product in AWS, Databricks or Google?
Director of IT
https://www.chaosgenius.io/blog/microsoft-fabric-vs-databricks/ is one comparison.  Probably others can be found.  Also consider using some GenAI engines to generate at least the initial content to work from.
See Full Discussion
26 Jan 20254.8k Views1 Comment

Microsoft Fabric Reviews and Ratings

4.3

(249 Ratings)

Rating Distribution

5 Star
45%
4 Star
48%
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

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

The cost control of this software platform is subpar to say the least. You have no clue how many CUs you're about to use when using one of the tools of the platform. You have to try which tools will be of best use for your use-case since the documentation is lacking in a lot of areas because there are so many products bundled up as one that microsoft cant keep up with writing the correct documentation for the updated suites of the software. A lot of the time in early setup stages you have the choice between paying for a oversized capacity and being able to try different things or having a right sized capacity and basically being not able to make mistakes because the capacity wil throttle after using too many CUs (which as i stated earlier are never mentioned while using any service). Other platforms are a lot more transparent about upfront costs and let you know what the tool, calculation, etc. will set you back. The only way to see which of your services sent your capacity into throttle is a self designed power bi dashboard with about half an hour of latency, which wouldnt be too bad as it is quite informative but again the missing of costs per service are what is a dealbreaker.

Dislike

The cost control of this software platform is subpar to say the least. You have no clue how many CUs you're about to use when using one of the tools of the platform. You have to try which tools will be of best use for your use-case since the documentation is lacking in a lot of areas because there are so many products bundled up as one that microsoft cant keep up with writing the correct documentation for the updated suites of the software. A lot of the time in early setup stages you have the choice between paying for a oversized capacity and being able to try different things or having a right sized capacity and basically being not able to make mistakes because the capacity wil throttle after using too many CUs (which as i stated earlier are never mentioned while using any service). Other platforms are a lot more transparent about upfront costs and let you know what the tool, calculation, etc. will set you back. The only way to see which of your services sent your capacity into throttle is a self designed power bi dashboard with about half an hour of latency, which wouldnt be too bad as it is quite informative but again the missing of costs per service are what is a dealbreaker.

Dislike

The cost control of this software platform is subpar to say the least. You have no clue how many CUs you're about to use when using one of the tools of the platform. You have to try which tools will be of best use for your use-case since the documentation is lacking in a lot of areas because there are so many products bundled up as one that microsoft cant keep up with writing the correct documentation for the updated suites of the software. A lot of the time in early setup stages you have the choice between paying for a oversized capacity and being able to try different things or having a right sized capacity and basically being not able to make mistakes because the capacity wil throttle after using too many CUs (which as i stated earlier are never mentioned while using any service). Other platforms are a lot more transparent about upfront costs and let you know what the tool, calculation, etc. will set you back. The only way to see which of your services sent your capacity into throttle is a self designed power bi dashboard with about half an hour of latency, which wouldnt be too bad as it is quite informative but again the missing of costs per service are what is a dealbreaker.