scan-icon

Architecture & integration considerations

In your 30-minute session, we assess how both platforms—Qlik and Microsoft Fabric—fit into your current BI and data landscape. We explore pipeline design, semantic layers, and system integration to help clarify which architecture model supports your goals long-term.

search-check-icon

Security, governance & lifecycle

We compare both tools with a focus on enterprise readiness: user and access control, data lineage, monitoring, and overall lifecycle governance. You’ll gain clarity on what’s already working—and where Fabric or Qlik might offer stronger compliance or control.

Compass-icon

Skill availability & long-term platform fit

Choosing a platform isn’t just technical. We help assess internal skillsets, hiring availability, and operational overhead. Whether your team leans Microsoft-native or Qlik-heavy, we help project the long-term implications of your tool strategy.

That's what our customers say

Logo: Zoologische Gesellschaft Frankfurt

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspend Varius Enim in Eros Elementum Tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean Faucibus Nibh et Justo Cursus id Rutrum Lorem Imperdiet. Nunc ut sem vitae risus tristique posuere.

name

No items found.
Photo of Thomas Howert

Thomas Howert

BI Technology expert for more than 10 years.

FAQs: Qlik vs Fabric

When does Fabric make more sense than Qlik?

Fabric can be a strong fit if you’re already invested in Azure, need native governance, and want to consolidate services like Data Factory and Synapse. We'll help you evaluate whether its modular structure supports your key business cases.

How complex is a migration to Fabric?

That depends on your current architecture and use cases. We’ll outline typical phases—from pilot to transition—and provide an effort estimate based on your infrastructure and team capacity.

What kind of Azure costs should I expect?

Fabric runs on a consumption model. You’ll incur costs for storage, compute, and pipeline orchestration. In the session, we’ll outline typical budget ranges based on your expected data volumes and usage profile.