Qlik or Power BI? Find the Right Fit for Your Data Strategy
Founder Thomas Howert helps you weigh architectural, licensing, and skill availability factors to make an informed decision for your BI platform.
Architecture and integration scenarios
In your free 30-minute session, we’ll help you understand how Qlik and Power BI fit into your data and platform architecture. We look at deployment models, governance options, and integration potential – whether cloud-native, hybrid, or on-premise.
Cost and licensing implications
We walk through the licensing logic and long-term cost structure of each tool. You’ll gain a realistic picture of what Power BI and Qlik will cost in your environment – including hidden factors like capacity planning, user scaling, and premium features.
Team skillsets and market availability
Tool choice also depends on your team. We discuss internal expertise, available talent in the market, and how steep the learning curve is – helping you make a decision that’s strategic, not just technical.
Thomas Howert
BI technology expert with over 10 years of experience.
FAQs: Qlik vs Power BI
Qlik is strong in data modeling and associative analytics, while Power BI offers tight Microsoft integration and low entry costs. We help you determine what fits your strategic, architectural, and user needs.
Qlik uses role-based licensing with Analyzer and Professional tiers; Power BI typically uses per-user or capacity-based licensing. We show how this impacts cost predictability and scalability.
Yes. Many organizations maintain both – for example, Qlik for complex modeling and Power BI for quick visualization. We advise on coexistence models and data governance in dual-tool environments.