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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

Senior Digital Analytics Manager
1B - 3B USD, Retail
FAVORABLE

“Some Microsoft Fabric Features Still Maturing Amid Strong End-to-End Platform Vision”

4.0
Apr 7, 2026
Overall, our experience with Microsoft Fabric has been positive so far, particularly from an evaluation and early adoption perspective. The concept of bringing data engineering, analytics and reporting into a single unified platform is compelling and aligns well with how many organisations want to simplify their data stack. It feels like a forward-looking product with a lot of potential, although it's still maturing and some areas don't yet feel as fully developed or proven as more established components within the ecosystem.
Data Engineer
50M - 250M USD, Consumer Goods
CRITICAL

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

2.0
Mar 31, 2026
The software had a lot of unclear features and use-cases. The costs are not clear up front and still in use you have not really a definitive grasp about how many ressources you are using.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Software reviews and ratings for EMMS, BI, CRM, MDM, analytics, security and other platforms - Peer Insights by Gartner
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Microsoft Fabric

byMicrosoft
in
4.4
Market Presence: Decision Intelligence Platforms, Data Integration Tools

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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Microsoft Fabric Likes & Dislikes

Like

One of the biggest strengths is the vision of having an end-to-end data platform in one place, covering ingestion, transformation, storage and reporting. The integration across different componenets feels quite seamless, particularly if you are already aligned to the wider Microsoft ecosystem. It also lowers some of the friction between traditionally separate teams, which can help speed up delivery. The pace of development is another positive, with new features and improvements being introduced regularly.

Like

Ease of use and integration into our existing Power BI landscape were a driving factor behind our pro fabric decision.

Like

The ability to bring the entire data lifecycle into a single, unified platform. Having data ingestion, transformation, storage, and visualization all in one place significantly reduces complexity and eliminates the need to manage multiple disconnected tools. The seamless integration with PowerBI is a major advantage, enabling faster insights and easier collaboration between technical and business users. I also appreciate the OneLake concept, which simplifies data access and helps break down silos across teams.

Dislike

As a relatively new platform, some areas still feel immature or not as fully featured as the standalone tools they are effectively replacing. There can be some uncertainty around best practices, as guidance and documentation are still evolving. It can also be difficult to fully understand the cost model and how it will scale over time. In some cases, it feels like capabilities are still being consolidated, which can create a slightly fragmented experience.

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

If feels like a platform in transition. Some features may be incomplete or inconsistent, which can impact reliability in production environments. There's also a noticeable learning curve due to the breadth of tools and concepts, and the documentation doesn't always keep pace with rapid updates. In addition, monitoring, governance, and cost transparency could be more robust, particularly for organizations trying to scale usage. While I love the PowerBI integration, the overall experience would benefit from more maturity and stability across all components.

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 20254.7k Views1 Comment

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Filter Reviews
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Reviewer's Job Function
  • Data Engineer
    50M-1B USD
    Consumer Goods
    Review Source

    Unclear Cost Structure and Resource Usage Create Challenges in Software Management

    2.0
    Mar 31, 2026
    The software had a lot of unclear features and use-cases. The costs are not clear up front and still in use you have not really a definitive grasp about how many ressources you are using.
  • Senior Digital Analytics Manager
    1B-10B USD
    Retail
    Review Source

    Some Microsoft Fabric Features Still Maturing Amid Strong End-to-End Platform Vision

    4.0
    Apr 7, 2026
    Overall, our experience with Microsoft Fabric has been positive so far, particularly from an evaluation and early adoption perspective. The concept of bringing data engineering, analytics and reporting into a single unified platform is compelling and aligns well with how many organisations want to simplify their data stack. It feels like a forward-looking product with a lot of potential, although it's still maturing and some areas don't yet feel as fully developed or proven as more established components within the ecosystem.
  • Senior Knowledge Management Advisor
    10B+ USD
    Banking
    Review Source

    Microsoft Fabric Streamlines Data Workflows But Faces Growing Pains and Learning Curve

    4.0
    Mar 30, 2026
    My overall experience with Microsoft Fabric has been largely positive. It provides a unified environment for data engineering, warehousing, and business intelligence, which has helped reduce tool fragmentation and streamline workflows. The tight integration with PowerBI and the broader Microsoft ecosystem has made adoption easier and accelerated time to insight across teams.
  • Head Of Cyber Defense Center
    <50M USD
    IT Services
    Review Source

    Integrating Threat Data Enhanced but Steep Learning Curve

    4.0
    Mar 30, 2026
    My overall experience with Microsoft Fabric has been positive so far. We are using in our cyber team to pull together threat data from multiple sources for faster analysis and better decision making. It feels like a game changer for handling big data workloads without the usual hassle.
  • Engineer
    Gov't/PS/Ed
    Education
    Review Source

    An excellent platform for testing and managing data, though performance can slow down during heavy use

    4.0
    Mar 30, 2026
    I need to focus on data testing and Microsoft Fabric has made my life much easier by putting everything in one place. In the past, testing data pipelines meant connecting to multiple different databases and tools just to run my automation scripts. Now, because all the data lives in OneLake, I can write my Python automated tests in one spot. It's a great platform, though, because it does everything, the menus can sometimes feel overwhelming to navigate.
...
Showing Result 1-5 of 141

4.4

(100 Ratings)

Rating Distribution

5 Star
48%
4 Star
45%
3 Star
5%
2 Star
2%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.2

Integration & Deployment

4.4

Service & Support

4.2

Product Capabilities

4.5