Microsoft Fabric: A Comprehensive Data Management Solution Microsoft Fabric presents a unified, robust platform designed to optimize data management, enhance AI model development, and empower users across an organization. It focuses on integrating data seamlessly, ensuring governance and security, and providing AI capabilities. Microsoft Fabric is presented as an all-encompassing data management solution, providing organizations with tools for efficient data integration,…
N/A
Qlik Analytics Platform
Score 8.2 out of 10
N/A
The Qlik Analytics Platform (QAP) is a developer platform for building custom analytic applications based on rich frontend and backend APIs. It gives full API access to the Qlik associative engine to build rich data-driven analytic applications, for example when building web applications for extranet and Internet deployment.
N/A
Pricing
Microsoft Fabric
Qlik Analytics Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft Fabric
Qlik Analytics Platform
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Use Microsoft Fabric by purchasing Fabric Capacity, a billing unit that enables each Fabric experience. Pay for every data tool in one transparent, simplified pricing model and save time for other business needs.
Fabric Capacity is priced uniquely across regions.
I would highly recommend Microsoft Fabric, especially for medium to large enterprises aiming to build a robust, scalable, and secure data analytics platform. It effectively unifies various data workloads, streamlining data integration, engineering, and particularly enhancing our ability to create and share reliable Power BI dashboards. The deep integration with Azure AD for features like Row-Level Security is a significant advantage for data governance.
If you want to setup analytics dashboards for reporting or simple data analysis then Qlik is your tool of choice.
Complex data structures are handled well, but you’ll need to keep de amount of data on the low side. Integration with other software is possible and easy.
It's flexible in allowing the development of fully-fledged analysis tools and dashboards, but also smaller "widgets" to embed in our websites to bring stories to life, and enables us to develop things once and then re-use them in different contexts.
The development platform and management console are both easy to use, and, with proper data development by our expert developers, can be used by relatively junior colleagues to produce great-looking and very useful products.
The way the platform handles a mix of data sources from different APIs and internal data stores is good.
We like the visualizations and from a corporate perspective find it easy to develop one-size-fits-all visualizations that present a wide range of data items well in a responsive way.
I've rated Microsoft Fabric's overall usability as a 4, primarily due to its extensive and multifaceted feature set, which can make it challenging to navigate and determine the optimal functionality for a given task.While the breadth of capabilities is a core strength for large enterprises, it often leads to a sense of being "lost" or overwhelmed for teams like ours that do not have highly formalized roles or dedicated specialists for each Fabric "experience" (e.g., Data Engineering, Data Warehousing, Data Science).
Qlik is great for companies with lots of business domains and departments because it scales well, especially if data that is reported is saved in SQL and similar structures. Its ease of use and good UI enables business units to create and manage their own reports. That removes a great burden of creating and managing/modifying these pages from the IT team. Overall, it's a win-win for both IT and business units.
Microsoft Fabric integrates data ingestion, engineering, warehousing, and Power BI visualization into one cohesive environment. This "one-stop shop" approach dramatically reduces complexity, minimizes operational overhead, and eliminates the need to integrate disparate tools and manage data across multiple systems. It provides superior scalability for large datasets, supports open data formats, and offers a much broader suite of data engineering and data science capabilities.In essence, Fabric's integrated ecosystem and streamlined operational management were key differentiators, providing a more cohesive, scalable, and efficient solution for our evolving data strategy than combining specialized tools.
They are all good tools, each having their own pros and cons. Qlik Analytics Platform was easy to set up, more than affordable, and has a good user base. Though not as large as some of the other tools, it is growing every day and for the price, it is very hard to beat. I would recommend it. Microsoft Power BI is a little more intuitive to some users, many of them engineers, because of its similarities to Excel. I do like that it follows a similar structure to Excel but I think that it also has the same old-school GUI, which could be improved on. I prefer the way Qlik Analytics Platform's visualizations look because they appear more modern and smooth rather than rigid.
