Microsoft Fabric

What is Microsoft Fabric?

A unified platform that enables data integration, analysis, and management for analytics in the Azure cloud by integrating various Azure data services such as Power BI, Synapse, Data Factory, Purview and Data Lake.

Customer Satisfaction
7.3
Rated 7.3 out of 10
User Experience
7.0
Rated 7 out of 10
Technical Foundation
7.2
Rated 7.2 out of 10
Business Value
6.7
Rated 6.7 out of 10

About Microsoft Fabric

Self-description of the vendor

No vendor self-description available
About BARC Reviews

Would you like to find out more about BARC reviews? Our FAQs answer the most important questions.

References
No data available
Partners
No data available

Microsoft Fabric BARC Review & Rating

Provider and product description

Microsoft, headquartered in Redmond, Washington, is one of the world’s largest software companies by market capitalization. Founded in 1975, it has expanded globally with more than 175 regional offices. Known for Windows and Microsoft Office, the company has diversified into enterprise software, cloud solutions, and AI/ML technologies. Its strategic focus on cloud services, particularly Azure, underpins its leadership in the market. Microsoft is investing heavily in generative AI, including large‑scale model training and a strategic partnership with OpenAI, to differentiate itself in a dynamic landscape.

Microsoft positions Fabric – launched in 2023 – as a unified, SaaS analytics platform that consolidates data integration, storage, governance, analytics, and business intelligence in a single environment. The product is built around OneLake, a logical Delta Lake–based data lake on ADLS Gen2 that enables zero‑copy access for role‑specific “experiences” such as Data Engineering, Lakehouse, Data Warehouse, Power BI, Real‑Time Intelligence and the IQ semantic layer.

Recent investments emphasize AI and developer productivity: Copilot integrations across experiences, Fabric Data Agent support in Copilot Studio, notebook inline code completion, Git/CI‑CD lifecycle capabilities, materialized lake views, and improved interoperability including Delta Change Data Feed replication, mirroring from Snowflake and BigQuery, and Apache Iceberg access. Deep Purview integration and a centralized OneLake catalog strengthen governance and compliance across the estate.

Customers choose Fabric primarily because of its connectivity and fit with their technology landscape, its scalability, and the familiarity of Microsoft as a vendor. The survey shows connectivity to source and target systems as the top reason for purchase. Respondents also cited Fabric’s natural alignment with Azure and Power BI as a decisive factor, particularly for organizations already invested in Microsoft tooling. Scalability and improved performance were frequently mentioned in customer feedback, and nearly half of buyers reported an existing relationship with Microsoft as a material influence on selection – 42% versus a peer average of 26%. Business users also rate Fabric favorably for usability: 42% of respondents highlighted good usability compared with a 26% average, a result that reflects Power BI integration and the emerging Copilot experience for non‑technical users.

Pain points reported by users center less on the platform’s raw capabilities and more on people, processes, and economics. A substantial share of respondents (37%, versus a 19% average) reported lack of know‑how as a blocker to full value realization, underscoring the need for structured enablement, skilled platform teams, and partner support. Several customers also highlighted complexity in administration and operations: the breadth of Fabric’s capabilities can increase the operational surface and requires dedicated operational practices. Qualitative feedback additionally pointed to perceived complexity in pricing and difficulties in predicting total cost of ownership as an area for clearer vendor guidance.

Compared with last year, Fabric shows clear and measurable progress across major KPIs. Business Value increased from 5.5 to 6.7 on the survey scale. Within that category, the Business Benefits measure rose from 4.1 to 6.4, indicating stronger realization of outcomes. Customer Satisfaction climbed from 6.3 to 7.3, with Recommendation showing a particularly large jump from 1.7 to 7.7, an important signal of improved advocacy. User Experience improved from 6.0 to 7.0, driven by gains in Functional Coverage and Ease of Use. The Technical Foundation rose from 6.6 to 7.2, Performance moved from 4.9 to 6.8, and Platform Reliability from 4.8 to 7.3, reflecting significant platform hardening and engineering attention.

Microsoft Fabric has transitioned from an ambitious integration concept to a maturing enterprise platform that is translating investment into customer outcomes. The combination of OneLake, open formats, and improved replication/mirroring capabilities has materially improved interoperability and performance, which customers now reflect in better technical and user experience scores. Simultaneously, the rapid rollout of AI and productivity features – such as Copilot integration, Data Agents, and notebook assistance – has lowered friction for analytics teams and accelerated delivery cycles, contributing to the marked uplift in Recommendation and overall Customer Satisfaction.

For organizations already embedded in the Microsoft ecosystem, Fabric is particularly compelling: it offers good connectivity to Microsoft services, a strong native fit with Azure and Power BI, and a clear path to consolidate multiple analytics functions within a single SaaS environment. These attributes make Fabric a pragmatic choice for enterprises seeking to simplify their stacks and scale analytics projects. That said, prospective buyers should plan deliberately for people and operational readiness: the survey demonstrates that lack of internal know‑how and administrative complexity are the principal barriers to success. Clear enablement programs, partner implementations, and governance frameworks will materially increase the chances of realizing Fabric’s potential. Buyers with strict multi‑cloud neutrality requirements or tight budget predictability needs should evaluate cross‑cloud strategy and cost scenarios carefully; Microsoft’s open‑format steps mitigate but do not entirely remove these considerations.

Overall, Microsoft Fabric is a fast‑improving, enterprise‑grade data platform that delivers notable strengths in connectivity, ecosystem fit, usability for business users, and an increasingly robust technical foundation. Its recent KPI gains show the platform is maturing in ways that matter to customers; capturing the full benefit will depend on investment in skills, governance, and predictable cost management.

Strengths and challenges of Microsoft Fabric

BARC’s viewpoint on the product’s strengths and challenges.

Strengths
  • Most Microsoft Fabric customers purchase the product because they like the fit with their existing and future landscape as well as connectivity to source/target systems—a clear reflection of Microsoft’s dominant installed base of small, mid-sized, and large organizations.
  • Buyers perceive above-average usability for business users driven by Power BI and Copilot.
  • Nearly half of customers, far more than competitors, chose Fabric due to their existing relationship with Microsoft. Those existing relationships also contribute to higher levels of user product knowledge and stronger consulting partnerships than other vendors.
  • Enhanced interoperability (mirroring, CDF replication, Iceberg access).
  • Strong momentum: All major KPI categories increased compared with last year’s survey (Business Value, Customer Satisfaction, User Experience, Technical Foundation).
Challenges
  • Operational and administrative complexity due to breadth of capabilities.
  • Pricing model complexity and TCO transparency.
  • Considerations for strictly multi-cloud, cloud-agnostic deployments.
  • Given the breadth of Microsoft’s product portfolio and financial resources, it is surprising to see that Microsoft fails to earn more than two top ranks in the Data Platforms (Big Player) peer group.
Need more help finding the right software?

Find out how our expertise can help you.

Microsoft Fabric User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with Microsoft Fabric.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Why users buy Microsoft Fabric and what problems they have using it

Premium content. Unlock with BARC+.
For just €79 per month (€948 per year) you can access all the paid content on www.barc.com.
Your benefits:

Full user reviews and KPI results for Microsoft Fabric

All key figures for Microsoft Fabric at a glance.

Premium content. Unlock with BARC+.
For just €79 per month (€948 per year) you can access all the paid content on www.barc.com.
Your benefits:

Individual user reviews for Microsoft Fabric

Role
Data engineer/Data manager
Number of employees
100 - 2.500
Industry
Utilities
Source
BARC Panel, Data Fabric 26, 03/2025
What do you like best?

Integration in das bestehende M365‑Ökosystem. Geschwindigkeit der Datenverarbeitung.

What do you like least/what could be improved?

Native Integration an diverse Systeme, z. B. SAP R/3.

What key advice would you give to other companies looking to introduce/use the product?

Prüfen, welche Systeme wann angeschlossen werden sollen und ob dies einfach und kostenoptimiert möglich ist.

How would you sum up your experience?

Mittelmäßig. Die Verarbeitung von Daten ist schnell und einfach. Prototyping ist auf lokalen Rechnern schneller und einfacher. Anbindung öffentlicher Daten ist unkompliziert; On‑Prem erfordert ein Azure‑Setup, welches Implementierungszeit benötigt.

Role
Member of a cross-departmental BI/analytics team
Number of employees
More than 2.500
Industry
Manufacturing
Source
BARC Panel, Data Fabric 26, 03/2025
What do you like best?

With all the options and features available in the product, it seems that everything is possible.

What do you like least/what could be improved?

If not properly managed, it could lead to confusion and problems, especially between IT and business on data governance topics.

What key advice would you give to other companies looking to introduce/use the product?

As always, be sure you have selected a good consulting company!

How would you sum up your experience?

It seems to be a complete tool, offering all the up-to-date functionalities needed to properly manage a BI platform.

Role
CIO
Number of employees
More than 2.500
Industry
Retail
Source
BARC Panel, Data Fabric 26, 04/2025
What do you like best?

J’apprécie la simplicité pour unifier, transformer, analyser et visualiser des données dans une seule plateforme intégrée. Cela permet un gain de temps énorme et une meilleure collaboration entre les équipes data.

What do you like least/what could be improved?

Rien en particulier.

What key advice would you give to other companies looking to introduce/use the product?

Commencer par clarifier les cas d’usage et impliquer dès le départ les équipes métiers et IT pour garantir l’alignement.

How would you sum up your experience?

Très bonne opinion, beaucoup de valeur générée.

Role
Consultant
Number of employees
Less than 100
Industry
Consulting
Source
BARC Panel, Data Fabric 26, 06/2025
What do you like best?

Flexibilität und Integration in die Azure‑Cloud.

What do you like least/what could be improved?

Anzahl der Konnektoren, Lock-in.

What key advice would you give to other companies looking to introduce/use the product?

Zeit und externe Hilfe zur Einführung holen.

How would you sum up your experience?

Role
Enterprise architect
Number of employees
More than 2.500
Industry
Healthcare
Source
BARC Panel, Data Fabric 26, 06/2025
What do you like best?

Fantastic performance, even for large datasets.

What do you like least/what could be improved?

Administration is complex, and there is a lack of parity between desktop and web-based applications.

What key advice would you give to other companies looking to introduce/use the product?

Think carefully about how you are going to organize your models and workspaces.

How would you sum up your experience?

It's a premium product, but with a premium cost. It can be really amazing, but make sure you are getting your money's worth.

Role
Consultant
Number of employees
100 - 2.500
Industry
Retail
Source
BARC Panel, Data Fabric 26, 06/2025
What do you like best?

Integration ins Ökosystem, Vielfalt des Systems.

What do you like least/what could be improved?

Reifegrad der Software.

What key advice would you give to other companies looking to introduce/use the product?

Use Cases prüfen, ob diese heute schon umsetzbar sind.

How would you sum up your experience?

Positiv mit kleineren Stolpersteinen.

Role
Data scientist
Number of employees
More than 2.500
Industry
Insurance
Source
BARC Panel, Data Fabric 26, 02/2025
What do you like best?

Enhanced data governance.

What do you like least/what could be improved?

Interoperability and better training from the vendor’s side.

What key advice would you give to other companies looking to introduce/use the product?

Invest in training and support.

How would you sum up your experience?

Overall a good product.

Role
Member of a cross-departmental BI/analytics team
Number of employees
More than 2.500
Industry
Manufacturing
Source
BARC Panel, Data Fabric 26, 04/2025
What do you like best?

Das Medaillenkonzept.

What do you like least/what could be improved?

Im Moment fühlt man sich noch wie ein Beta-Tester, weil ständig neue Funktionen ergänzt werden.

What key advice would you give to other companies looking to introduce/use the product?

Holt euch gute Berater bei der Einführung (Gold- oder Platin-Partner).

How would you sum up your experience?

Tolles Produkt, leider am Anfang mit Beratern, die uns zu einem Zusatztool (dbt) gebracht haben. Das müssen wir jetzt rückabwickeln.

Role
Head of business department
Number of employees
Less than 100
Industry
Manufacturing
Source
BARC Panel, Data Fabric 26, 02/2025
What do you like best?

Ease of use for the basic functionality and the possibility to implement more advanced features.

What do you like least/what could be improved?

The number of features can be so overwhelming that we end up using fewer than we probably should.

What key advice would you give to other companies looking to introduce/use the product?

Get someone with deployment experience to accelerate implementation.

How would you sum up your experience?

It is a feature-rich product that lets you start small and gain more value as you implement additional features. The problem is that, as a small company, you can easily get lost in the many different ways to get things done.

Role
Project manager for BI/analytics from business department
Number of employees
More than 2.500
Industry
Services
Source
BARC Panel, Data Fabric 26, 04/2025
What do you like best?

Ease of use and scalability.

What do you like least/what could be improved?

Requires specialist knowledge to implement.

What key advice would you give to other companies looking to introduce/use the product?

It is worth considering due to its easy compatibility with other Microsoft products.

How would you sum up your experience?

Role
Chief data officer
Number of employees
100 - 2.500
Industry
Insurance
Source
BARC Panel, Data Fabric 26, 04/2025
What do you like best?

It allows us to work within our existing ecosystem to provide solutions quickly and reliably.

What do you like least/what could be improved?

Some of the features don't seem as mature as those of competitors. With Microsoft being so broad, they are stretched in many directions.

What key advice would you give to other companies looking to introduce/use the product?

If you are a Microsoft shop, it is a good option.

How would you sum up your experience?

We are very happy with what we've been able to do so far.

Role
Head of business department
Number of employees
100 - 2.500
Industry
Construction
Source
BARC Marketing, Data Fabric 26, 04/2025
What do you like best?

Alles läuft in einer Welt (Microsoft) zusammen und ist damit für Excel-Anwender gut nutzbar.

What do you like least/what could be improved?

Die Anbindung von Datenquellen ist recht mühselig und funktioniert nicht immer nach dem gleichen Muster. Anpassungen im System laufen zum Teil ohne Information im Hintergrund, was im Handling des Produkts zu Irritationen führen kann.

What key advice would you give to other companies looking to introduce/use the product?

Das Datenmodell der Zielquellen muss bekannt sein, damit man zielgerichtet auf die Daten zugreifen kann.

How would you sum up your experience?

Für kleinere Unternehmen, die Ressourcen (mindestens ein bis zwei FTEs) für diesen Bereich bereitstellen können und über die entsprechenden Microsoft-Lizenzen verfügen, kann dies die optimale Lösung sein.

Role
Consultant
Number of employees
Less than 100
Industry
Healthcare
Source
BARC Marketing, Data Fabric 26, 04/2025
What do you like best?

I love how Microsoft Fabric truly brings everything - like data engineering, real-time analytics, and BI - into one platform. It feels so natural if you’ve lived in the Microsoft ecosystem. Honestly, it has made my life easier by cutting out all the usual integration headaches.

What do you like least/what could be improved?

Managing capacity and understanding the pricing at scale can be tricky, and the governance across multiple workspaces still needs some polish. I’ve had to build a few workarounds myself when managing large enterprise rollouts.

What key advice would you give to other companies looking to introduce/use the product?

Start small, pick a real business problem to solve first, and don’t underestimate the importance of governance and security from day one. Also, invest in team training early, as Fabric works best when everyone speaks the same data language.

How would you sum up your experience?

Honestly, I really like it since it's exciting to see how much Microsoft is innovating here. It’s not perfect yet, but it’s clear they are listening to feedback and improving it quickly, and it’s already delivering a lot of value for real-world projects I’ve worked on.

Role
Consultant
Number of employees
100 - 2.500
Industry
Services
Source
BARC Marketing, Data Fabric 26, 04/2025
What do you like best?

All-in-one integrated platform for the full data transformation process.

What do you like least/what could be improved?

Some key functionalities are missing. It is difficult to back up key datasets. User rights and access are not easy to monitor. Data governance could be improved.

What key advice would you give to other companies looking to introduce/use the product?

It should be a strategic choice rather than a tactical one. In the long run, the platform will provide all the necessary functionalities. The architecture is excellent, but one should be patient, as many features still seem to be only partially implemented.

How would you sum up your experience?

It is a good choice for SMBs that do not need to invest in several separate tools and infrastructure to set up a clean and effective data architecture. The entry cost is low but can become significant as the volume of data and number of users grow. AI integration is unaffordable for SMBs, with no possibility to test before investing.

Role
Consultant
Number of employees
100 - 2.500
Industry
IT
Source
BARC Marketing, Data Fabric 26, 03/2025
What do you like best?

Microsoft Data Fabric is great because it combines data, is easy to use, and provides smart insights.

What do you like least/what could be improved?

Liked least: The pricing model can be complex and difficult to understand, making it challenging to predict costs. Could be improved: Simpler pricing and more tutorials for beginners.

What key advice would you give to other companies looking to introduce/use the product?

Plan ahead, train your team, start small, focus on data quality, and monitor performance for a successful implementation.

How would you sum up your experience?

Microsoft Data Fabric is a powerful and user-friendly platform that simplifies data integration and analytics, making it a top choice.

Role
Data scientist
Number of employees
100 - 2.500
Industry
Retail
Source
BARC Marketing, Data Fabric 26, 03/2025
What do you like best?

It has several methods to connect to data.

What do you like least/what could be improved?

Lack of best practices.

What key advice would you give to other companies looking to introduce/use the product?

Make sure that the ROI makes sense.

How would you sum up your experience?

It is quite innovative and well integrated. It reduces the burden of managing several components.

Role
Consultant
Number of employees
Less than 100
Industry
Healthcare
Source
BARC Marketing, Data Fabric 26, 03/2025
What do you like best?

Provides valuable data insights, has the capabilities we needed, and supports privacy and security.

What do you like least/what could be improved?

Add more privacy and security capabilities.

What key advice would you give to other companies looking to introduce/use the product?

Plan to take more time than you probably expected to learn to use it most effectively.

How would you sum up your experience?

It is meeting our needs.

Role
Consultant
Number of employees
100 - 2.500
Industry
Manufacturing
Source
BARC Marketing, Data Fabric 26, 02/2025
What do you like best?

Microsoft Data Fabric simplifies data management by unifying sources across on-premises, cloud, and SaaS. It integrates AI/ML for advanced analytics, automates governance with Microsoft Purview, and offers low-code accessibility. Built on Azure, it scales efficiently and seamlessly integrates with the Microsoft ecosystem. Ideal for businesses looking to break data silos without added complexity.

What do you like least/what could be improved?

Microsoft Data Fabric is powerful but comes with complexity, high costs, potential vendor lock-in, and evolving features. While great for Microsoft-centric environments, it may require fine-tuning for broader multi-cloud use cases.

What key advice would you give to other companies looking to introduce/use the product?

How would you sum up your experience?

Microsoft Data Fabric is a strong solution for unified data management, excelling in integration, automation, and AI-driven analytics. It’s ideal for Microsoft-centric organizations but comes with a learning curve, cost concerns, and vendor lock-in risks. Great for enterprises in the Microsoft ecosystem but may require careful consideration for multi-cloud flexibility.

Role
Consultant
Number of employees
100 - 2.500
Industry
Manufacturing
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

It is comprehensive and simple to understand Microsoft's vision. Fabric is the evolution of already very good components that work very well together in a modern and approachable portal/hub.

What do you like least/what could be improved?

It's new and improving quickly. Hard to keep up with what's done and what should be done soon.

What key advice would you give to other companies looking to introduce/use the product?

Be ready for change and problems that are typical for a new product offering.

How would you sum up your experience?

Very exciting. It does what is promised, with a lot of potential.

Survey Information
Number of reviews for Microsoft Fabric
45
Reviewed versions
Peer groups in the survey
Cloud Data Warehouses, Data Platforms, Data Warehouses, Data Platforms (Big Players)
Don‘t miss out!
Join over 25,775 data & analytics professionals and get the latest product insights, research, surveys and more!
Our newsletter is your source for the latest developments in data, analytics, and AI!