Fabric Data pros and cons

Name: Fabric Data
Brand: Fabric Data
Rating: 4.0 (21 reviews)

Vendor: Fabric Data

4.0 out of 5

21 reviews
95% willing to recommend

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Fabric Data Pros review quotes

Xin Wen

Student at Northeastern University

May 11, 2026

The unified workspace is the biggest advantage I experienced while building those data pipelines and working with OneLake storage.

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Pranav Vighe

Data Engineer at IRT Dogotal ANlytics

May 11, 2026

Previously, we were using Databricks for this, but we switched to Fabric Data because Fabric Data is more integrated, we don't need to shift our data from one tool to another, and all the processing and visualization can be done inside Microsoft Fabric Data.

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Arman Khachatryan

Sr. Specialist Business Intelligence & Reporting at a financial services firm with 5,001-10,000 employees

May 13, 2026

I enjoy working with the pipelines since they provide a full end-to-end use case for me to take the data and report everything in one place instead of going back and forth with databases and engineers, allowing me to feel as a data scientist, data engineer, and business analyst in one location, giving me full authority to control everything.

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Xin Wen

Student at Northeastern University

May 12, 2026

Fabric Data offers the best features by delivering a well-integrated, modern data engineering experience as a learning and certification platform.

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Timothy Gallagher

Data Scientist at Constellation Brands

May 8, 2026

Fabric Data has allowed us to change that and put the entire solution in one package and one environment, and that also makes things much more stable.

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Trinkesh Nimsarkar

Senior BI developer at a outsourcing company with 201-500 employees

May 12, 2026

Fabric Data has positively impacted our organization as it has been our go-to tool for data integration with the help of Microsoft services.

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Aditya Sasmal

Data Consultant at a manufacturing company with 10,001+ employees

May 6, 2026

I reduced around 60% latency using Fabric Data and created one single source of truth on the Microsoft ecosystem when working with a pharmaceutical industry.

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reviewer2837271

ERP Data specialist at a consumer goods company with 1,001-5,000 employees

May 10, 2026

We have certainly saved a significant amount of time by switching from small-scale tools to Fabric Data, which has improved visibility and increased accuracy.

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Srishti Budholia

Power BI Developer at a tech services company with 11-50 employees

May 14, 2026

Fabric Data enables me to get the data from multiple resources, whether on-premises or any other Azure service providers, and also allows me to transfer and migrate the data from any other platform to Fabric Data smoothly.

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MihirParekh

Founder & CEO at a consultancy with 1-10 employees

May 14, 2026

Fabric Data has positively impacted my organization by decreasing the storage-level cost, and we now have different teams, including a data analytics team and a data engineering team, all on one platform, allowing us to directly check the data analytics part.

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Fabric Data Cons review quotes

Xin Wen

Student at Northeastern University

May 11, 2026

I felt some features, particularly around the Dataflow Gen2 error handling and pipeline monitoring, lacked clear documentation at the time of my study.

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Pranav Vighe

Data Engineer at IRT Dogotal ANlytics

May 11, 2026

The main improvement I would like to see is more integration with other tools; for example, SAP integration should be there because there are more integration tools available in Azure Data Factory than in Fabric Data, and I would like to have more integrations in Fabric Data.

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Arman Khachatryan

Sr. Specialist Business Intelligence & Reporting at a financial services firm with 5,001-10,000 employees

May 13, 2026

I feel that the Copilot in Power BI is very weak; for example, if you power it with the cloud, it is much more powerful than the Copilot in Power BI, which I believe could offer much better insights since it is a Microsoft tool.

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Xin Wen

Student at Northeastern University

May 12, 2026

I felt some features of Fabric Data, particularly around Dataflow Gen2 error handling and pipeline monitoring, lack clear documentation at the time of my study.

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Timothy Gallagher

Data Scientist at Constellation Brands

May 8, 2026

Fabric Data can be improved because it tends to be run by Fabric Capacity, which is basically the compute cycles, and it is not very clear on how and what that is going to be used.

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Trinkesh Nimsarkar

Senior BI developer at a outsourcing company with 201-500 employees

May 12, 2026

There needs to be improvement in error handling and resource management because some of the documentation is not clear.

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Aditya Sasmal

Data Consultant at a manufacturing company with 10,001+ employees

May 6, 2026

Speed is a factor which Fabric Data says and confirms they will improve. The data speed will improve, but it is not a significant improvement as per the capability of Fabric Data.

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reviewer2837271

ERP Data specialist at a consumer goods company with 1,001-5,000 employees

May 10, 2026

I have observed some limitations with Fabric Data, especially when it comes to bringing data from private networks.

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Srishti Budholia

Power BI Developer at a tech services company with 11-50 employees

May 14, 2026

I did encounter one challenge recently in Power Query editor where I had to perform the same amount of transformations for multiple reports, repeating the transformations for each row each time.

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MihirParekh

Founder & CEO at a consultancy with 1-10 employees

May 14, 2026

I believe Excel sheets have some issues when creating a data frame; however, JSON data works fine for Fabric Data. When using an Excel sheet, we need some extra libraries, and that feature would be useful because most e-commerce sites store data in Excel.

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