Microsoft Fabric Reviews & Product Details

One thing I like about Microsoft Fabric is how it brings multiple data capabilities into a single platform. Instead of using separate tools for data storage, transformation, and analytics, Fabric keeps most of the workflow in one place, which makes things easier to manage.

In my case, I mainly work with the Fabric warehouse where we store tables and create views that are later used for reporting. The platform is fairly easy to use once you get familiar with the interface, and implementation was quite straightforward since our team already uses Microsoft tools.

Another strong point is integration. Connecting Fabric warehouse data to Microsoft Power BI for dashboards works smoothly, which helps simplify the reporting workflow. I also like that Fabric includes multiple features like lakehouse, warehouse, and data pipelines in one environment, so teams can manage different data tasks without switching platforms Review collected by and hosted on G2.com.

Since Fabric is still relatively new compared to some older data platforms, sometimes documentation for certain scenarios is limited. It can take a bit of experimentation to figure out the best way to organize the data between lakehouse and warehou Review collected by and hosted on G2.com.

What I like best about Microsoft Fabric is its unified platform that brings together data engineering, ETL, analytics, and visualization seamlessly. It integrates services like Data Factory, OneLake, and Power BI, which reduces data movement and overall complexity. Fabric supports easy CI/CD through Git integration and enables near real-time data access with database mirroring. With its single capacity-based pricing model, simple implementation, and built-in support for the medallion architecture, it is both cost-effective and easy to use. Review collected by and hosted on G2.com.

What I dislike about Microsoft Fabric is that it is still evolving, so some features feel less mature compared to standalone Azure services. There is also a learning curve, especially for users new to the unified Fabric experience. At times, documentation and troubleshooting guidance can be limited, which makes resolving issues a bit challenging. Review collected by and hosted on G2.com.

The integration of SQL, Python, Power BI, notebooks, and other tools makes data governance centralized and easier to manage. Review collected by and hosted on G2.com.

The cost of Fabric is high, and that makes it difficult for small businesses to afford. Review collected by and hosted on G2.com.

Fabric is end to end solution for any data engineering project as well as business intelligence needs. Review collected by and hosted on G2.com.

Fabric sometimes could be very difficult for beginners Review collected by and hosted on G2.com.

I like the AI-assisted ETL feature in Osmos, though it is a bit brittle. Review collected by and hosted on G2.com.

I find Osmos a bit brittle; it can break easily, which is frustrating. Sometimes the transformations are only half good, half bad, which is not reliable. Review collected by and hosted on G2.com.

The team has been incredibly responsive and supportive- always willing to hop on a call whenever we need guidance or have questions. Their commitment to customer service really stands out. On top of that, the platform itself is intuitive and easy to use, even for those without any coding experience. The code-free setup has made it simple for our team to implement solutions quickly and efficiently. Review collected by and hosted on G2.com.

I really enjoy using Osmos- it’s a powerful and efficient tool that’s been a great asset to our workflow. One area where I see room for improvement is in editing data after it’s already been implemented. While I understand the design limitations and the reasoning behind that structure, having more flexibility for post-implementation adjustments would make the platform even more valuable. Review collected by and hosted on G2.com.

number of features and ease of integration Review collected by and hosted on G2.com.

SKU requirements during development can be quite high. Review collected by and hosted on G2.com.

The integration of all the tools that Microsoft has in just one place, make it easy to use and it has a high number of features. Review collected by and hosted on G2.com.

The price is something that it is a little bit out of my like. Review collected by and hosted on G2.com.

Azure Fabric merges data engineering and analytics in one platform, such as Azure Synapse, Power BI, SQL Server. OneLake centralizes data management, real time analytics and AI powered insights where workflow and collaboration are improved and data processing and decision making are expedited. With such an easy implementation and use, Microsoft Fabric excels in giving teams the ability to bring data engineering and analytics together. With its straightforward design, real time analytics, and it’s AI powered features, it makes things easier, making a workflow simple and real time analytics, it makes matters quicker and help you faster, where you can concentrate on the larger scale rather than just on a particular matter at hand, and this can be done thanks to centralized management of data under OneLake. I use it frequently. Review collected by and hosted on G2.com.

While very powerful, Microsoft Fabric can be too much (in complexity and cost) for smaller teams. Finally, some workflows have limited customization options and the learning curve can be steep for beginners. On integration with other Microsoft services its full potential largely depends, which may not be appropriate for all users. Improving Customer support is required. Review collected by and hosted on G2.com.

Microsoft Fabric is a centralized data platform that integrates various data analytics services and data science solutions. Fabric provides Azure Synapse Analytics solutions for data warehouse, lakehouse, ETL services, and Power BI within one platform. It simplifies the design and deployment of data pipelines and integrates seamlessly with Azure data services. It is easy-to-use cloud-based and provides a collaborative workspace among data teams and stakeholders. Review collected by and hosted on G2.com.

Microsoft Fabric pricing concepts are a bit complex. Solutions deployment within Microsoft Fabric is challenging for new users as they need to learn about tenants, capacities, and workspaces across Azure and Power BI platforms. Review collected by and hosted on G2.com.