Microsoft Fabric vs. Qlik Analytics Platform

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.

Incentivized

Qlik Analytics Platform has helped us track turnaround time as well as sales volumes. We can display metrics in a multitude of ways and can then slice it up in even more ways by adding filters. It is nice that you can filter down the data by essentially "Qliking" anywhere to find insights. Qlik Analytics Platform has been extremely beneficial in reducing manual reports. We are able to automate numerous reports in addition to setting up alerts, through Nprinting, that will notify users when certain metrics are hit. For example, if our turnaround time exceeds a certain number, we can alert business stakeholders so they can take a closer look. We can also send notifications to sales representatives when their territories are underperforming.

Incentivized

• Access Control / Security & Governance
• Collaborative Work up to Visualization
• Data Ingestion

Incentivized

• Fast setup of analytics report
• Easy tweaking of build dashboards
• Perfect integration with other data software
• Vast possibilities on setting up dashboards

Incentivized

• Clarity and Documentation on Power BI Integration Changes and Best Practices
• More Flexible and Advanced Scheduled Report Delivery Options
• Enhanced Data Export Control Based on Sensitivity Labels

Incentivized

• Certainly, it turns out that implementation and data modeling are sometimes complex.
• There are still many graphic and representation limits that need complex customizations to be overcome.

Incentivized

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).

Incentivized

Customer support is provided through resellers, and finding the right reseller for your context can be a challenge. However our support from our last two resellers/partners has been largely very good. The online community is strong, though obviously doesn't replace having local technical experts working with the product and managing it.

Incentivized

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.

Incentivized

Qlik is a platform with more scaling ability and functionality compared to PowerBI. PowerBI is the prior step before passing to Qlik, however, Qlik provides more functions and abilities to the business domain unit with better management capabilities for the IT team that set it up. In the end, we implemented Qlik for functionality and scalability.

Incentivized

• Transformation from Monthly Reports to Daily Insights, Accelerating Decision-Making
• Streamlined Reporting: Enhanced Data Consistency and 30% Reduction in Reports Provided
• Empowered Self-Service Analytics Through Elevated Employee Data Literacy

Incentivized

• It made our analytics better
• Dashboards for strategic decisions are changed and setup faster
• We spend more time on learning the tool than we thought to need

Incentivized